{"id":85317,"date":"2022-10-14T06:31:37","date_gmt":"2022-10-14T12:01:37","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=85317"},"modified":"2023-11-06T04:42:24","modified_gmt":"2023-11-06T10:12:24","slug":"ai-102-exam-questions","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/","title":{"rendered":"Free Questions on Microsoft Azure AI Solution Exam AI-102 Certification"},"content":{"rendered":"<p>Are you looking for free <a href=\"https:\/\/www.whizlabs.com\/microsoft-azure-certification-ai-102\/\" target=\"_blank\" rel=\"noopener\">AI-102 exam questions<\/a> and answers to prepare for Designing and Implementing a Microsoft Azure AI Solution certification exam?<\/p>\n<p>Here are our\u00a0<strong>newly updated 25+ Free questions<\/strong> on the Microsoft Azure AI Solution certification exam which are very similar to the practice test as well as the real exam.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ea7e02;color:#ea7e02\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ea7e02;color:#ea7e02\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Why_do_we_provide_Microsoft_Azure_AI_Solution_certification_AI-102_exam_for_free\" >Why do we provide Microsoft Azure AI Solution certification\u00a0 AI-102 exam for free?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_Computer_Vision_solutions\" >Domain : Implement Computer Vision solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_knowledge_mining_and_document_intelligence_solutions\" >Domain : Implement knowledge mining and document intelligence solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution\" >Domain : Plan and manage an Azure Cognitive Services solution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_computer_vision_solutions\" >Domain : Implement computer vision solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-2\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-3\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_generative_AI_solutions\" >Domain : Implement generative AI solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-4\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Plan_and_manage_an_Azure_AI_solution\" >Domain : Plan and manage an Azure AI solution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution-2\" >Domain : Plan and manage an Azure Cognitive Services solution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_computer_vision_solutions-2\" >Domain : Implement computer vision solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_computer_vision_solutions-3\" >Domain : Implement computer vision solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-5\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution-3\" >Domain : Plan and manage an Azure Cognitive Services solution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_generative_AI_solutions-2\" >Domain : Implement generative AI solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_generative_AI_solutions-3\" >Domain : Implement generative AI solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_knowledge_mining_and_document_intelligence_solutions-2\" >Domain : Implement knowledge mining and document intelligence solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-6\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-7\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_knowledge_mining_and_document_intelligence_solutions-3\" >Domain : Implement knowledge mining and document intelligence solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_generative_AI_solutions-4\" >Domain : Implement generative AI solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-8\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Implement_natural_language_processing_solutions-9\" >Domain : Implement natural language processing solutions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Domain_Plan_and_manage_an_Azure_AI_solution-2\" >Domain : Plan and manage an Azure AI solution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-102-exam-questions\/#Summary\" >Summary<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Why_do_we_provide_Microsoft_Azure_AI_Solution_certification_AI-102_exam_for_free\"><\/span>Why do we provide Microsoft Azure AI Solution certification\u00a0 AI-102 exam for free?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>We provide Microsoft Azure AI Solution certification AI-102 exam for free because we want to help people learn about artificial intelligence and how it can be used to solve real-world problems. Azure AI is a powerful tool that can help businesses automate tasks, improve efficiency, and make better decisions. With the right training, businesses can harness the power of Azure AI to transform their operations.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-85343 size-medium\" title=\"AI-102 exam\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-300x292.webp\" alt=\"AI-102 exam\" width=\"300\" height=\"292\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-300x292.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-768x748.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-431x420.webp 431w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-640x624.webp 640w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-681x664.webp 681w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam-150x146.webp 150w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2022\/10\/AI-102-exam.webp 1017w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Also, note that the exam syllabus covers questions from the following domains:<\/p>\n<ul class=\"margin-xs\">\n<li class=\"font-size-sm\">Plan and manage an Azure AI solution (15\u201320%)<\/li>\n<li class=\"font-size-sm\">Implement decision support solutions (10\u201315%)<\/li>\n<li class=\"font-size-sm\">Implement computer vision solutions (15\u201320%)<\/li>\n<li class=\"font-size-sm\">Implement natural language processing solutions (30\u201335%)<\/li>\n<li class=\"font-size-sm\">Implement knowledge mining and document intelligence solutions (10\u201315%)<\/li>\n<li class=\"font-size-sm\">Implement generative AI solutions (10\u201315%)<\/li>\n<\/ul>\n<p><span style=\"font-size: 16px;\">Let\u2019s get started!<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_Computer_Vision_solutions\"><\/span>Domain : Implement Computer Vision solutions<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 1.<\/strong>\u00a0 The capability to export classifiers is offered in the Custom Vision Service. You may use this feature in your application locally for real-time classifications. Since Custom Vision Service only exports compact domains, you plan to convert standard domain to compact domain to run the classifier locally for real-time classification.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Review the scenario given above and select the answer choice where the sequence of steps to convert standard to a custom domain is\u00a0 correctly maintained:<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Select &amp; save the new domain -&gt; Retrain the model -&gt; Select the project -&gt; Export the model\u00a0<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Select the project -&gt; Select &amp; save the new domain -&gt; Export the model -&gt; Retrain the model<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Select &amp; save the new domain -&gt; Select the project -&gt; Export the model -&gt; Retrain the model<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Select the project -&gt; Select &amp; save the new domain -&gt; Retrain the model -&gt;\u00a0 Export the model<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is incorrect <\/b><span style=\"font-weight: 400;\">because you would need to select the project first and change it to the compact domain. The next step would be to retain the model and export it in the appropriate format.\u00a0<\/span><br \/>\n<b>Option B is incorrect<\/b><span style=\"font-weight: 400;\"> because you would need to retain the model before exporting it in the appropriate format.<\/span><br \/>\n<b>Option C is incorrect<\/b><span style=\"font-weight: 400;\"> because you would need to select the project first and change it to the compact domain. The next step would be to retain the model and export it in the appropriate format.<\/span><br \/>\n<b>Option D is<\/b> <b>correct <\/b><span style=\"font-weight: 400;\">because following this sequence, you can export the model to execute locally for real-time classification.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about Custom Vision Service export options, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/custom-vision-service\/export-your-model\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/custom-vision-service\/export-your-model<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_knowledge_mining_and_document_intelligence_solutions\"><\/span>Domain : Implement knowledge mining and document intelligence solutions<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 2 :<\/strong> You granted Reader access to a group of users to allow them to search service operations, such as index management and querying search data. However, users provided feedback that they are unable to perform the intended functions.<\/span><br \/>\n<span style=\"font-weight: 400;\">Which action will you perform to address the concern?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Use API keys to grant access for content operations on the service<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Grant Contributor Role to the group of users through the IAM page of resource group in Azure Portal<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Use a Service Principal to grant access for content operations on the service<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Grant Owner Role to the group of users through the IAM page of resource group in Azure Portal<\/span><\/p>\n<p><b>Correct Answer: A<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is<\/b> <b>correct <\/b><span style=\"font-weight: 400;\">because the API key is the sole mechanism for authenticating inbound requests to your search service endpoint and is required on every request.<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because Contributor Role provides access to create or delete the service. However, it does not grant access rights to the service endpoint. Search service operations are controlled through API keys.<\/span><br \/>\n<b>Option C is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because the service principal can gain access to portal resources through RBAC. Search service operations are controlled through API keys.<\/span><br \/>\n<b>Option D is incorrect <\/b><span style=\"font-weight: 400;\">because the Owner Role provides access to create or delete the service. However, it does not grant access rights to the service endpoint. Search service operations are controlled through API keys.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about authorizing access through Azure roles in Azure Cognitive Search, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/search\/search-security-api-keys\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/search\/search-security-api-keys<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution\"><\/span><span style=\"font-weight: 400;\">Domain : Plan and manage an Azure Cognitive Services solution<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 3:<\/strong> You may use role-based access control to grant access to a Custom Vision Cognitive resource. Review the table below and map the Cognitive Services role with the level of permission associated with that role.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td>Role (R1)<\/td>\n<td>Permission (P1)<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Reader (R11)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects and export\/publish the trained models (P11)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Deployment (R12)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects, delete training images and add tags (P12)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Trainer (R13)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to edit projects and train models but cannot create\/delete projects (P13)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Labeler (R14)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects but cannot make any changes to projects or models(P14)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>R11 -&gt; P14; R12 -&gt; P12 ; R13 -&gt; P13; R14 -&gt; P11\u00a0<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>R11 -&gt; P11; R12 -&gt; P13; R13 -&gt; P12; R14 -&gt; P14<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>R11 -&gt; P14; R12 -&gt; P11; R13 -&gt; P13; R14 -&gt; P12<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>R11 -&gt; P14; R12 -&gt; P13; R13 -&gt; P12; R14 -&gt; P11<\/span><\/p>\n<p><b>Correct Answer: C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is the correct mapping for the role and the permissions associated with it.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Role (R1)<\/b><\/td>\n<td><b>Permission (P1)<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Reader (R11)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects but cannot make any changes to projects or models (P14)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Deployment (R12)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects and export\/publish the trained models (P11)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Trainer (R13)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to edit projects and train models but cannot create\/delete projects (P13)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cognitive Services Custom Vision Labeler (R14)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ability to view projects, delete training images and add tags (P12)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><b>Option A is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because Cognitive Services Custom Vision Reader can view projects but cannot make any changes<\/span><br \/>\n<b>Option B is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because using role Cognitive Services Custom Vision Deployment, models can be published or exported. Deployment resources can also view the project. However, they cannot make changes to the projects.<\/span><br \/>\n<b>Option C is<\/b> <b>correct <\/b><span style=\"font-weight: 400;\">because Cognitive Services Custom Vision Trainer has the ability to make changes to projects. However, they cannot create or delete a project. The trainer role is suited for activities like training, publishing and exporting models.<\/span><br \/>\n<b>Option D is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because cognitive Services Custom Vision Labeler has the ability to upload, edit, or delete training images. Labelers can view projects, make changes to tags\/images, but they cannot update anything else in the projects.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about Custom Vision Cognitive Services RBAC access, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/custom-vision-service\/role-based-access-control\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/custom-vision-service\/role-based-access-control<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_computer_vision_solutions\"><\/span><span style=\"font-weight: 400;\">Domain : Implement computer vision solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Question 4 : <\/strong>To extract text from text-heavy images in a set of documents, you plan to use the Read API of Computer Vision cognitive service in Azure. Review the statements given below and choose the ones that are true regarding the Read API. (select three options)<\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Get Read Result operation fetches text from documents in a single step<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>The Read API supports around 23 languages for printing text<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Supported file formats by the Read API are PDF, BMP, JPEG, PNG and TIFF<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Up to 2000 pages can be processed for PDF file format while using the Read API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>The Read API can only support dimensions up to 10000&#215;10000 pixels<\/span><\/p>\n<p><b>Correct Answers:<\/b> <b>C, D and E<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is<\/b> <b>incorrect<\/b><span style=\"font-weight: 400;\">. Read operation is asynchronous. It is a two-step process. In the first step, Operation-location is returned through the response. In the second step, the Get Read Result operation fetches the text through the JSON response.\u00a0<\/span><br \/>\n<b>Option B is incorrect<\/b><span style=\"font-weight: 400;\">. Read API uses more than 70 languages for printing text. Refer to<\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/language-support\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">supported languages<\/span><\/a><span style=\"font-weight: 400;\"> for reference.<\/span><br \/>\n<b>Option C is correct<\/b><span style=\"font-weight: 400;\">. Read API supported PDF, BMP, JPEG, PNG and TIFF file formats.<\/span><br \/>\n<b>Option D is correct<\/b><span style=\"font-weight: 400;\">. Up to 2000 pages can be processed for PDF file format while using the Read API, provided you are not using a free tier.<\/span><br \/>\n<b>Option E is correct<\/b><span style=\"font-weight: 400;\">. The Read API can support a minimum dimension of 50&#215;50 pixels and a maximum of 10000&#215;10000 pixels.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about the OCR and Read API requirements, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/overview-ocr\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/overview-ocr<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 5 :<\/strong> You are tasked to use the Language Detection feature of <\/span>Azure Cognitive Language Service<span style=\"font-weight: 400;\">. You provide the JSON inputs and receive two outputs, as given in code snippets below. The first output (Output 1) provides a confidence score of 1, whereas the second output (Output 2) returns a confidence score of 0.<\/span><br \/>\n<span style=\"font-weight: 400;\">Review the scenario given above and complete the following code snippets. (Choose two options)<\/span><br \/>\n<em><b><br \/>\nOutput 1:<\/b><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0&#8220;documents&#8221;:[<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;detectedLanguage&#8221;:{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;confidenceScore&#8221;:1.0,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;iso6391Name&#8221;:&#8221;fr&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;:&#8221;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;..&#8221;<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0},<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;:&#8221;1&#8243;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;warnings&#8221;:[\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0]<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">]<\/span><\/em><br \/>\n<em><b>Output 2:<\/b><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0&#8220;documents&#8221;:[<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;detectedLanguage&#8221;:{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;confidenceScore&#8221;:0.0,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;iso6391Name&#8221;:&#8221;(Unknown)&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;:&#8221;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;..&#8221;<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0},<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;:&#8221;1&#8243;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;warnings&#8221;:[\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0]<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">]<\/span><\/em><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Fr<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>French<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>countryHint<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>(Unknown)<\/span><\/p>\n<p><b>Correct Answers: B and D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because<\/span> <span style=\"font-weight: 400;\">fr is iso code for the french language. The name of the language is French.<\/span><br \/>\n<b>Option B is correct. <\/b><span style=\"font-weight: 400;\">Since the confidence score for iso code \u201cfr\u201d is 1, the French language is returned as the name. Here is the completed code for Output 1.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u00a0 \u00a0 &#8220;documents&#8221;:[<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;detectedLanguage&#8221;:{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;confidenceScore&#8221;:1.0,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;iso6391Name&#8221;:&#8221;fr&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;:&#8221;French&#8221;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0},<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;:&#8221;1&#8243;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;warnings&#8221;:[\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 ]<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}<\/span><br \/>\n<span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><b>Option C is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because<\/span> <span style=\"font-weight: 400;\">countryHint provides the hint for a region or country in case of an ambiguity in the language or if there are mixed languages in a sentence.<\/span><br \/>\n<b>Option D is<\/b> <b>correct. <\/b><span style=\"font-weight: 400;\">Since the<\/span> <span style=\"font-weight: 400;\">confidence score is 0, language is unknown. Here is the completed code for Output 2.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u00a0 \u00a0 &#8220;documents&#8221;:[<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;detectedLanguage&#8221;:{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;confidenceScore&#8221;:0.0,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;iso6391Name&#8221;:&#8221;(Unknown)&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;:&#8221;(Unknown)&#8221;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0},<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;:&#8221;1&#8243;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;warnings&#8221;:[\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 ]<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}<\/span><br \/>\n<span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about language detection, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/language-service\/language-detection\/overview\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/language-service\/language-detection\/overview<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-2\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Question 6 :<\/strong> Language Understanding (LUIS)<span style=\"font-weight: 400;\"> authoring authentication has changed. Now it uses Azure resources instead of an email account. With this change, you would need to migrate to an authoring resource as well. Review the statements regarding this migration process and select two statements that are true.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>If you own the application, it will automatically migrate with you<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Application owners get the choice to migrate a subset of the application<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Collaborators are automatically added to the Azure authoring resource<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>If you are a collaborator, the application will automatically migrate with you<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>Before migration coauthors are called collaborators and after migration contributors<\/span><\/p>\n<p><b>Correct Answers:<\/b> <b>A and E<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is correct. <\/b><span style=\"font-weight: 400;\">If you own the application, it will automatically migrate with you.<\/span><br \/>\n<b>Option B is<\/b> <b>incorrect. <\/b><span style=\"font-weight: 400;\">Owners do not get a choice to migrate part of the application.<\/span><br \/>\n<b>Option C is<\/b> <b>incorrect. <\/b><span style=\"font-weight: 400;\">An application owner adds collaborators as contributors using IAM. Collaborators are not automatically added to the authoring resource.<\/span><br \/>\n<b>Option D is<\/b> <b>incorrect. <\/b><span style=\"font-weight: 400;\">If you are a collaborator, you will be prompted to migrate the application. However, it will not migrate automatically with you.<\/span><br \/>\n<b>Option E is<\/b> <b>correct. <\/b><span style=\"font-weight: 400;\">Before migration, coauthors are called collaborators and after migration, they are called as contributors.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about migrating to an authoring resource, use the links given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-migration-authoring\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-migration-authoring<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-3\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 7 :<\/strong> Review the sentiment conditions in the matrix given below and choose the correct document that meets both conditions.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td>Sentiment Condition 1<\/td>\n<td>Sentiment Condition 2<\/td>\n<td>Returned Document Level<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">At least one sentence is negative<\/span><\/td>\n<td><span style=\"font-weight: 400;\">At least one sentence is positive<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DocLevel1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">At least one sentence is negative<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Rest of the sentences are neutral<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DocLevel2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">At least one sentence is positive<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Rest of the sentences are neutral<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DocLevel3<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>DocLevel1 -&gt; Neutral; DocLevel2 -&gt; Negative; DocLevel3 -&gt; Positive<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>DocLevel1 -&gt; Neutral; DocLevel2 -&gt; Neutral; DocLevel3 -&gt; Neutral<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>DocLevel1 -&gt; Mixed; DocLevel2 -&gt; Negative; DocLevel3 -&gt; Positive<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>DocLevel1 -&gt; Mixed; DocLevel2 -&gt; Neutral; DocLevel3 -&gt; Neutral<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is incorrect <\/b><span style=\"font-weight: 400;\">because DocLevel1 would be Mixed, the reason being one of the sentence sentiments is positive, and one of the sentence sentiments is negative.<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because DocLevel1 would be Mixed, the reason being one of the sentence sentiments is positive, and one of the sentence sentiments is negative. DocLevel2 sentiment would be negative since one of the sentence sentiments is negative while other sentences returned a neutral sentiment. DocLevel3 sentiment would be positive since one of the sentence sentiments is positive while other sentences returned a neutral sentiment.<\/span><br \/>\n<b>Option C is correct <\/b><span style=\"font-weight: 400;\">because<\/span> <span style=\"font-weight: 400;\">DocLevel1, DocLevel2, DocLevel3 document level is maintained correctly.<\/span><br \/>\n<b>Option D is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because DocLevel2 sentiment would be negative since one of the sentence sentiments is negative while other sentences returned a neutral sentiment. DocLevel3 sentiment would be positive since one of the sentence sentiments is positive while other sentences returned a neutral sentiment.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about sentiment analysis, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-sentiment-analysis?tabs=version-3-1#view-the-results\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-sentiment-analysis?tabs=version-3-1#view-the-results<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_generative_AI_solutions\"><\/span><span style=\"font-weight: 400;\">Domain : Implement generative AI solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 8<\/strong> : In your chat application, you decide to use multimedia attachments to enhance user interaction. In the first interaction with the user, your bot uses a basic card with a single large image, one button and a few lines of plain text. The image displays a product or category, the button offers a link to your website, and the text displays the title text for the product or category. In the second interaction, your bot uses a combination of text, speech, images and input fields. It renders a JSON object response into your chat application for an engaging experience.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the scenario above, which card would you choose to add to your bot for the first (<\/span><span style=\"font-weight: 400;\">Interaction1<\/span><span style=\"font-weight: 400;\">) and second Interaction (<\/span><span style=\"font-weight: 400;\">interaction2<\/span><span style=\"font-weight: 400;\">)?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Interaction1 -&gt; Hero Card; Interaction2 -&gt; Adaptive Card<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Interaction1\u00a0 -&gt; Thumbnail Card; Interaction2 -&gt; Adaptive Card<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Interaction1 -&gt; Adaptive Card; Interaction2\u00a0 -&gt; Thumbnail Card<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Interaction1 -&gt; Adaptive Card; Interaction2 -&gt; Hero Card<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>A<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is correct <\/b><span style=\"font-weight: 400;\">because a large image, a button, and some text are displayed through the multimedia attachment in the first interaction. The Hero card is suited for that purpose. A JSON object provides a flexible and rich experience to the user through an Adaptive card in the second interaction.<\/span><br \/>\n<b>Option B is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because the image used in the first interaction is large. However, the Thumbnail card uses a thumbnail image.<\/span><br \/>\n<b>Option C is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because Interaction 1 is suited to use the Hero Card, and Interaction 2 is suited to use an Adaptive card.<\/span><br \/>\n<b>Option D is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because Interaction 1 is suited to use the Hero Card, and Interaction 2 is suited to use an Adaptive card.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about responding with the card in a bot framework, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/composer\/how-to-send-cards?tabs=v2x\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/composer\/how-to-send-cards?tabs=v2x<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-4\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 9 :<\/strong> Review the JSON code snippet given below and complete it by selecting the entity type and subtype for a prebuilt entity in a <\/span>Language Understanding (LUIS)<span style=\"font-weight: 400;\"> application:<\/span><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0&#8220;documents&#8221;: [{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;: &#8220;1&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0&#8220;entities&#8221;: [{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;: &#8220;last week&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;matches&#8221;: [{<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;entityTypeScore&#8221;: 0.8,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;text&#8221;: &#8220;last week&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;offset&#8221;: 34,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;length&#8221;: 9<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}],<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;type&#8221;: &#8220;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;..&#8221;,<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;subType&#8221;: &#8220;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;..&#8221;<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0}]<\/span><\/em><br \/>\n<em><span style=\"font-weight: 400;\">\u00a0\u00a0}],<\/span><\/em><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>DateTime<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>DateRange<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Event<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Location<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>Duration<\/span><\/p>\n<p><b>Correct Answers: A and B<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is the completed code for reference:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0&#8220;documents&#8221;: [{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0&#8220;id&#8221;: &#8220;1&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0&#8220;entities&#8221;: [{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;name&#8221;: &#8220;last week&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;matches&#8221;: [{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;entityTypeScore&#8221;: 0.8,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;text&#8221;: &#8220;last week&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;offset&#8221;: 34,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;length&#8221;: 9<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}],<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;type&#8221;: &#8220;DateTime&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#8220;subType&#8221;: &#8220;DateRange&#8221;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0}]<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0}],<\/span><\/p>\n<p><b>Option A is correct. <\/b><span style=\"font-weight: 400;\">Named entity recognition provides the ability to recognize and identify items in the text. In this code snippet, the prebuilt entity type DateTime is used for categorization.<\/span><br \/>\n<b>Option B is correct. <\/b><span style=\"font-weight: 400;\">While not all entity types have subtypes, the \u201cDateTime\u201d entity type offers sub-type DateRange, apart from other subtypes, that is correct for this example.<\/span><br \/>\n<b>Option C is incorrect <\/b><span style=\"font-weight: 400;\">because the event entity type is used with a historic, naturally occurring or a social event.<\/span><br \/>\n<b>Option D is incorrect <\/b><span style=\"font-weight: 400;\">because location entity type is used for a location such as a landmark or a geographical feature.<\/span><br \/>\n<b>Option E is incorrect <\/b><span style=\"font-weight: 400;\">because duration subentity type is measures in units such as seconds.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about DateTime prebuilt entity type in <\/span><b>Language Understanding (LUIS)<\/b><span style=\"font-weight: 400;\"> applications, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-reference-prebuilt-datetimev2?tabs=1-1%2C2-1%2C3-1%2C4-1%2C5-2%2C6-1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-reference-prebuilt-datetimev2?tabs=1-1%2C2-1%2C3-1%2C4-1%2C5-2%2C6-1<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Plan_and_manage_an_Azure_AI_solution\"><\/span><span style=\"font-weight: 400;\">Domain : Plan and manage an Azure AI solution<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 10 :<\/strong> A start-up working on building an app to design memes, wants to<\/span><br \/>\n<span style=\"font-weight: 400;\">1- <\/span> <span style=\"font-weight: 400;\">Text content scanning from images.<\/span><br \/>\n<span style=\"font-weight: 400;\">2- <\/span> <span style=\"font-weight: 400;\">extract text from images.<\/span><br \/>\n<span style=\"font-weight: 400;\">Which API should be used?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Text Moderation API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Content Moderator Review tool<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Custom term API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Image Moderation API<\/span><\/p>\n<p><b>Correct Answer: D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is INCORRECT<\/b><span style=\"font-weight: 400;\"> because Text Moderation API cannot scan images for text.<\/span><br \/>\n<b>Option B is INCORRECT<\/b><span style=\"font-weight: 400;\">. Content Moderator Review tool provides services that combines human review with the machine learning content moderation. This is not an API.<\/span><br \/>\n<b>Option C is INCORRECT<\/b><span style=\"font-weight: 400;\">. Custom term API helps the creation of custom term lists to be used with Text Moderation API.<\/span><br \/>\n<b>Option D is CORRECT<\/b><span style=\"font-weight: 400;\">. Image Moderation API can perform both the listed activities.<\/span><\/p>\n<p><b>References: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/text-moderation-api\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/text-moderation-api<\/a>,\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/review-tool-user-guide\/human-in-the-loop\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/review-tool-user-guide\/human-in-the-loop<\/span><\/a>,\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/try-terms-list-api\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/try-terms-list-api<\/span><\/a>,\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/image-moderation-api\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/image-moderation-api<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution-2\"><\/span><span style=\"font-weight: 400;\">Domain : Plan and manage an Azure Cognitive Services solution<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 11 : <\/strong>Which of the cognitive Service API would help in:<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Scanning text to identify personal data<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Using a custom list in-line with content policies to block or allow content.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Computer Vision<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Language service<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Text Protector<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Content Moderator<\/span><\/p>\n<p><b>Correct Answer: D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is<\/b> <b>INCORRECT<\/b><span style=\"font-weight: 400;\">. Computer Vision service provides capabilities for image processing and capturing required associated information.<\/span><br \/>\n<b>Option B is INCORRECT<\/b><span style=\"font-weight: 400;\">. <\/span><b><i>Azure<\/i><\/b><b> Cognitive <\/b><b><i>Service<\/i><\/b><b> for <\/b><b><i>Language<\/i><\/b><span style=\"font-weight: 400;\"> performs sentiment analysis, language detection, and key phrase extraction over text by NLP.<\/span><br \/>\n<b>Option C is INCORRECT<\/b><span style=\"font-weight: 400;\">. Text Protector is an invalid service.<\/span><br \/>\n<b>Option D is<\/b> <b>CORRECT<\/b><span style=\"font-weight: 400;\">. Moderation API is included in the content moderator service and helps check materials content for potential inappropriateness or objectionability. <\/span><span style=\"font-weight: 400;\">There are various types of moderation APIs including text moderation, custom terms list, image moderation, custom image list, and Video moderation.<\/span><\/p>\n<p><b>References: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/<\/a>,\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/language-service\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/language-service\/<\/span><\/a>,\u00a0<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/overview\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/content-moderator\/overview<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_computer_vision_solutions-2\"><\/span><span style=\"font-weight: 400;\">Domain : Implement computer vision solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 12 :<\/strong> You have a requirement in your application to group faces based on the similar looking faces.\u00a0 Assuming that you have initialized the variables, authorized the API call, created the PersonGroup and created the persons for the PersonGroup. Review the code snippet given below for adding faces to the persons and complete it by choosing the most appropriate answer choice:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Parallel.For(0, PersonCount, async i =&gt;<\/span><br \/>\n<span style=\"font-weight: 400;\">{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0Guid personId = persons[i].PersonId;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0string personImageDir = @&#8221;\/path\/to\/person\/i\/images&#8221;;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0foreach (string imagePath in Directory.GetFiles(personImageDir, &#8220;*.jpg&#8221;))<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await WaitCallLimitPerSecondAsync();<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0using (Stream stream = File.OpenRead(imagePath))<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await faceClient\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.(personGroupId, personId, stream);<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}}<\/span><br \/>\n<span style=\"font-weight: 400;\">});<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>PersonGroupPerson.AddFaceFromUrlAsync<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>PersonGroupPerson.CreateAsync<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>PersonGroupPerson.UpdateFaceAsync<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>PersonGroupPerson.AddFaceFromStreamAsync<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is incorrect <\/b><span style=\"font-weight: 400;\">because in order to use AddFaceFromUrlAsync method, you would need to provide image urls, such as \u201cstring imageUrl = &#8220;https:\/\/&lt;path to jpg file&gt;&#8221;;<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because the CreateAsync method is used for creating the person. Here is a quick example \u201cpersons[i] = await faceClient.PersonGroupPerson.CreateAsync(personGroupId, personName)\u201d<\/span><br \/>\n<b>Option C is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because the UpdateFaceAsync method is used to update a person&#8217;s persisted face data. Requirement here is to add new faces instead.<\/span><br \/>\n<b>Option D is correct<\/b><span style=\"font-weight: 400;\"> because the requirement here is to add faces to the PersonGroup using an stream input. Here is the completed C# code<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Parallel.For(0, PersonCount, async i =&gt;<\/span><br \/>\n<span style=\"font-weight: 400;\">{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0Guid personId = persons[i].PersonId;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0string personImageDir = @&#8221;\/path\/to\/person\/i\/images&#8221;;<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0foreach (string imagePath in Directory.GetFiles(personImageDir, &#8220;*.jpg&#8221;))<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await WaitCallLimitPerSecondAsync();<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0using (Stream stream = File.OpenRead(imagePath))<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await faceClient.PersonGroupPerson.AddFaceFromStreamAsync(personGroupId, personId, stream);<\/span><br \/>\n<span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0}}<\/span><br \/>\n<span style=\"font-weight: 400;\">});<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about adding faces to a group, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/face\/face-api-how-to-topics\/how-to-add-faces\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/face\/face-api-how-to-topics\/how-to-add-faces<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_computer_vision_solutions-3\"><\/span><span style=\"font-weight: 400;\">Domain : Implement computer vision solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 13 :<\/strong> A developer is working on building a \u201cDeep Search AI solution\u201d for a video library company. The solution requires insights extraction from video to improve user video searching experience.<\/span><br \/>\n<span style=\"font-weight: 400;\">The solution also requires enabling users to \u201ccreate content for social media\u201d based on the insights from their videos.<\/span><br \/>\n<span style=\"font-weight: 400;\">Which Azure cognitive service should the developer use?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Face API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Computer vision<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Video Indexer<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Bing Video Search<\/span><\/p>\n<p><b>Correct Answer: C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is INCORRECT<\/b><span style=\"font-weight: 400;\">. Face API facilitates searching, identifying, and matching faces in a private repository. These actions could be done for up to 1 million people.<\/span><br \/>\n<b>Option B is INCORRECT.<\/b><span style=\"font-weight: 400;\"> Computer vision helps in real-time video analysis, extraction of text automation, but will not be useful for the given scenario.<\/span><br \/>\n<b>Option C is CORRECT<\/b><span style=\"font-weight: 400;\">. Video indexer can be used to extract insights from videos and these insights could be used for:<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Deep Search<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Content Creation<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Accessibility<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Monetization<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Recommendations<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;\u00a0 Content Moderations<\/span><br \/>\n<b>Option D is INCORRECT<\/b><span style=\"font-weight: 400;\">. Bing Video Search provides functionality to search video across the web and cannot help in building an AI solution as detailed in the scenario.<\/span><\/p>\n<p><b>References: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/media-services\/video-indexer\/video-indexer-overview\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/azure\/media-services\/video-indexer\/video-indexer-overview<\/span><\/a>,\u00a0<a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/face\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/face\/<\/span><\/a>,\u00a0<a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/computer-vision\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/computer-vision\/<\/span><\/a>,\u00a0<a href=\"https:\/\/azure.microsoft.com\/en-in\/services\/cognitive-services\/bing-video-search-api\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/azure.microsoft.com\/en-in\/services\/cognitive-services\/bing-video-search-api\/<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-5\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 14 :<\/strong> You have created example utterances and intents for your Language Understanding (LUIS) application. You train your application and while you review the dashboard, you identify certain issues. Your top intent and the next intent scores are close enough that may flip with the next training. To address the issue, you decide to delete a number of utterances amongst different intents. This changes the quantity of example utterances significantly. With this change, your review dashboard analysis again. What kind of issue would\u00a0 you expect on the dashboard with the new change?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Incorrect predictions<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Unclear predictions<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Data imbalance<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>None of the above<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is<\/b> <b>incorrect <\/b><span style=\"font-weight: 400;\">because incorrect predictions occur when example utterance is not predicted for the labeled intent. Instead, it is predicted for a different intent. To remediate this issue, you would need to edit the utterances to be more specific and train the model again.<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because unclear predictions occur when top intent and next intent scores are close enough to flip the results with the next model training. To remediate this issue, you would need to combine the intents or edit the utterances and train the model again.<\/span><br \/>\n<b>Option C is<\/b> <b>correct <\/b><span style=\"font-weight: 400;\">because data imbalance occurs when the quantity of example utterances varies significantly. To remediate this issue, you would need to add more utterances to the intent and train the model again.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about issues that can be fixed using dashboard analysis, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-how-to-use-dashboard\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/luis-how-to-use-dashboard<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Plan_and_manage_an_Azure_Cognitive_Services_solution-3\"><\/span><span style=\"font-weight: 400;\">Domain : Plan and manage an Azure Cognitive Services solution<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 15 :<\/strong> Which of the below cognitive service is NOT a Language Cognitive Service offering from Azure?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Immersive reader<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Language Understanding<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>QnA Maker<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Azure Cognitive Service for Language<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>Speech Service<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>F. <\/strong>Translator<\/span><\/p>\n<p><b>Correct Answer:\u00a0 E<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is INCORRECT<\/b><span style=\"font-weight: 400;\">. Immersive Reader is a language cognitive service.<\/span><br \/>\n<b>Option B is INCORRECT<\/b><span style=\"font-weight: 400;\">. Language Understanding is a language cognitive service.<\/span><br \/>\n<b>Option C is INCORRECT. <\/b><span style=\"font-weight: 400;\">QnA maker is a language cognitive service.<\/span><br \/>\n<b>Option D is INCORRECT<\/b><span style=\"font-weight: 400;\">. Azure Cognitive Service for Language is a language cognitive service.<\/span><br \/>\n<b>Option E is CORRECT. <\/b><span style=\"font-weight: 400;\">Speech Service is NOT a language cognitive service. Speech Service is a Speech cognitive service.<\/span><br \/>\n<b>Option F is INCORRECT. <\/b><span style=\"font-weight: 400;\">Translator is a language cognitive service.<\/span><\/p>\n<p><b>Reference: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_generative_AI_solutions-2\"><\/span><span style=\"font-weight: 400;\">Domain : Implement generative AI solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 16 :<\/strong> You are working on creating a bot that will eventually replace the users\u2019 call to library reception to book products available in the library. The bot is expected to process the customer\u2019s request (text and voice request) via its integration with backend services. The flow is finalized as below.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 1: The customer uses a mobile app or website.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 2: User is authenticated.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 3: The user requests for the information in natural language.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 4: Natural language request is processed by cognitive service.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 5: User reviews the response and reframes the query if required.<\/span><br \/>\n<span style=\"font-weight: 400;\">Step 6: Runtime telemetry is gathered to monitor bot performance.<\/span><br \/>\n<span style=\"font-weight: 400;\">Identify the correct service from the below for step 2 \u201cUser Authentication.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Cognitive service: LUIS<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Azure Active directory<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Application Insights<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Azure Bot Authenticator service<\/span><\/p>\n<p><b>Correct Answer: B<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is INCORRECT<\/b><span style=\"font-weight: 400;\">. LUIS helps us build conversational applications that support natural language for communication with users. LUIS can perform extraction of the information from conversations as per the requirement.<\/span><br \/>\n<b>Option B is CORRECT<\/b><span style=\"font-weight: 400;\">. Azure active directory is the azure service that helps perform identity and Access Management. Hence it performs the user validation.<\/span><br \/>\n<b>Option C is INCORRECT.<\/b><span style=\"font-weight: 400;\"> Applications Insights are a feature of Azure monitor that helps monitor applications performance.\u00a0 Application Insights facilitates anomaly detection as an important feature amongst many other features.<\/span><br \/>\n<b>Option D is INCORRECT. <\/b><span style=\"font-weight: 400;\">Azure Bot Authenticator service is an invalid service. We need to use the Azure active directory for the authentication.<\/span><\/p>\n<p><b>References: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/luis\/<\/a>, <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/active-directory\/\" target=\"_blank\" rel=\"noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/active-directory\/<\/a>, <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/app\/app-insights-overview\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/app\/app-insights-overview<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_generative_AI_solutions-3\"><\/span><span style=\"font-weight: 400;\">Domain : Implement generative AI solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 17 :<\/strong> Identify the statement that is True.<\/span><br \/>\n<span style=\"font-weight: 400;\">Statement 1: While using Azure Monitor Log Analytics, the customer is charged for Data Ingestion.<\/span><br \/>\n<span style=\"font-weight: 400;\">Statement 2: While using Azure Monitor Log Analytics, the customer is charged for Data retention.<\/span><br \/>\n<span style=\"font-weight: 400;\">(Select 2)<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Statement 1 <\/span><b>&#8211;&gt;<\/b><span style=\"font-weight: 400;\"> True<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Statement 1 <\/span><b>&#8211;&gt;<\/b><span style=\"font-weight: 400;\"> False<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Statement 2 <\/span><b>&#8211;&gt;<\/b><span style=\"font-weight: 400;\"> True<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Statement 2 <\/span><b>&#8211;&gt;<\/b><span style=\"font-weight: 400;\"> False<\/span><\/p>\n<p><b>Correct Answers: A and C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is CORRECT<\/b><span style=\"font-weight: 400;\"> because while using Azure Monitor Log Analytics, the customer is charged for Data Ingestion.\u00a0<\/span><br \/>\n<b>Option B is INCORRECT<\/b><span style=\"font-weight: 400;\"> because while using Azure Monitor Log Analytics, the customer is charged for Data Ingestion.<\/span><br \/>\n<b>Option C is CORRECT<\/b><span style=\"font-weight: 400;\"> because while using Azure Monitor Log Analytics, the customer is charged for Data retention.<\/span><br \/>\n<b>Option D is INCORRECT<\/b><span style=\"font-weight: 400;\"> because while using Azure Monitor Log Analytics, the customer is charged for Data retention.<\/span><\/p>\n<p><b>Reference: <\/b><a href=\"https:\/\/azure.microsoft.com\/en-us\/pricing\/details\/monitor\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/azure.microsoft.com\/en-us\/pricing\/details\/monitor\/<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_knowledge_mining_and_document_intelligence_solutions-2\"><\/span><span style=\"font-weight: 400;\">Domain : Implement knowledge mining and document intelligence solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 18 :<\/strong> You are enabling users to perform image search from domains and websites specified in your custom search instance.<\/span><br \/>\n<span style=\"font-weight: 400;\">Which Azure API will be an ideal fit for this?<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Bing Entity Search API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Bing Visual Search API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Bing Custom Search API<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Bing Image Search API<\/span><\/p>\n<p><b>Correct Answer:\u00a0 C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is INCORRECT<\/b><span style=\"font-weight: 400;\">. Bing Entity Search is not the correct choice because this API helps in searching the entities and places including restaurants, hotels, local businesses etc.<\/span><br \/>\n<b>Option B is INCORRECT<\/b><span style=\"font-weight: 400;\">. Bing visual search lets us upload an image or use a URL to perform search and get information about it as required in the scenario.<\/span><br \/>\n<b>Option C is CORRECT<\/b><span style=\"font-weight: 400;\">. Bing Custom Search API facilitates users image search from the domains and the websites mentioned in the custom search instance.<\/span><br \/>\n<b>Option D is INCORRECT<\/b><span style=\"font-weight: 400;\">. Bing Image Search API helps us search and find images (static and animated).<\/span><\/p>\n<p><b>References: <\/b><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-entities-search\/overview\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-entities-search\/overview<\/a>, <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-visual-search\/overview\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-visual-search\/overview<\/a>, <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-custom-search\/overview\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-custom-search\/overview<\/a>, <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-image-search\/overview\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/bing-image-search\/overview<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-6\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 19 : <\/strong>You have a requirement to analyze sentiments in a set of documents. You use sentiment analysis with opinion mining. As a result, you get document i, confidence score and document level sentiment. Given the requirement, review the code snippet below and complete it by choosing the option flag with <\/span><span style=\"font-weight: 400;\">analyzeSentiment <\/span><span style=\"font-weight: 400;\">method<\/span><br \/>\n<span style=\"font-weight: 400;\">async function sentimentAnalysisWithOpinionMining(client){<\/span><br \/>\n<span style=\"font-weight: 400;\">const sentimentInput = [<\/span><br \/>\n<span style=\"font-weight: 400;\">{<\/span><br \/>\n<span style=\"font-weight: 400;\">text: &#8220;The food was good but the service was poor&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">id: &#8220;0&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">language: &#8220;en&#8221;<\/span><br \/>\n<span style=\"font-weight: 400;\">}<\/span><br \/>\n<span style=\"font-weight: 400;\">];<\/span><br \/>\n<span style=\"font-weight: 400;\">const results = await client.analyzeSentiment(sentimentInput, {&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;&#8230;. });<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>includeOpinionMining: true<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>includeOpinionMining: enable<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>getConfidenceScores: true<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>getConfidenceScores: enable<\/span><\/p>\n<p><b>Correct Answer: A<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is correct <\/b><span style=\"font-weight: 400;\">because includeOpinionMining: true is the correct option flag for the requirement.<\/span> <span style=\"font-weight: 400;\">Here is the completed code snippet:<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">async function sentimentAnalysisWithOpinionMining(client){<\/span><br \/>\n<span style=\"font-weight: 400;\">const sentimentInput = [<\/span><br \/>\n<span style=\"font-weight: 400;\">{<\/span><br \/>\n<span style=\"font-weight: 400;\">text: &#8220;The food was good but the service was poor&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">id: &#8220;0&#8221;,<\/span><br \/>\n<span style=\"font-weight: 400;\">language: &#8220;en&#8221;<\/span><br \/>\n<span style=\"font-weight: 400;\">}<\/span><br \/>\n<span style=\"font-weight: 400;\">];<\/span><br \/>\n<span style=\"font-weight: 400;\">const results = await client.analyzeSentiment(sentimentInput, { includeOpinionMining: true });<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because the includeOpinionMining: enable is not the correct option flag<\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><br \/>\n<b>Option C is incorrect <\/b><span style=\"font-weight: 400;\">because the getConfidenceScores: true is not the correct option flag.<\/span><br \/>\n<b>Option D is incorrect <\/b><span style=\"font-weight: 400;\">because the getConfidenceScores: true is not the correct option flag.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about opinion mining in sentiment analysis, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-in\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-sentiment-analysis?tabs=version-3-1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-in\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-sentiment-analysis?tabs=version-3-1<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-7\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 20 : <\/strong>You use the Speech service in Azure to transcribe large amounts of audio. Further you plan to apply analytics on the transcribed text and get insights or facilitate action. Since the amount of audio is large, you use batch transcription. In this process you perform following operations:<\/span><br \/>\n<span style=\"font-weight: 400;\">Operation A (O11): Create a new transcription<\/span><br \/>\n<span style=\"font-weight: 400;\">Operation B (O12): Get the transcription<\/span><br \/>\n<span style=\"font-weight: 400;\">Operation C (O13): Update the details of the transcription<\/span><br \/>\n<span style=\"font-weight: 400;\">Operation D (O14): Delete the transcription<\/span><br \/>\n<span style=\"font-weight: 400;\">To perform these operations, you make use of the REST API calls and methods, as given in the table below. Review the operations, methods and API calls and map them in the correct order.<\/span><br \/>\n<span style=\"font-weight: 400;\">API Call A (A21): GET speechtotext\/v3.0\/transcriptions\/{id}<\/span><br \/>\n<span style=\"font-weight: 400;\">API Call B (A22): POST speechtotext\/v3.0\/transcriptions<\/span><br \/>\n<span style=\"font-weight: 400;\">API Call C (A23): DELETE speechtotext\/v3.0\/transcriptions\/{id}<\/span><br \/>\n<span style=\"font-weight: 400;\">API Call D (A24): PATCH speechtotext\/v3.0\/transcriptions\/{id}<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>O11 -&gt; A21; O12 -&gt; A22; O13 -&gt; A24; O14 -&gt; A23<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>O11 -&gt; A21; O12 -&gt; A22; O13 -&gt; A23; O14 -&gt; A24<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>O11 -&gt; A22; O12 -&gt; A21; O13 -&gt; A24; O14 -&gt; A23<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>O11 -&gt; A22; O12 -&gt; A21; O13 -&gt; A23; O14 -&gt; A24<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is the correct mapping of the Batch Transcription Operation and the REST API Call<\/span><b>:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Batch Transcription Operation<\/b><\/td>\n<td><b>REST API Call<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Create a new transcription<\/span><\/td>\n<td><span style=\"font-weight: 400;\">POST speechtotext\/v3.0\/transcriptions<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Get the transcription<\/span><\/td>\n<td><span style=\"font-weight: 400;\">GET speechtotext\/v3.0\/transcriptions\/{id}<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Update the details of the transcription<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PATCH speechtotext\/v3.0\/transcriptions\/{id}<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Delete the transcription<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DELETE speechtotext\/v3.0\/transcriptions\/{id}<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Given the mapping table above, <\/span><b>Option A is incorrect. <\/b><span style=\"font-weight: 400;\">Use the POST method to create a transcription.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the mapping table above,<\/span><b> Option B is incorrect <\/b><span style=\"font-weight: 400;\">as well<\/span><b>. <\/b><span style=\"font-weight: 400;\">Use the POST method to create a transcription. Use the PATCH method to update the transcription and DELETE method to delete the transcription.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the mapping table above, <\/span><b>Option C is correct<\/b><span style=\"font-weight: 400;\">.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the mapping table above, <\/span><b>Option D is incorrect.<\/b><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about batch transcription, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/speech-service\/batch-transcription\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/speech-service\/batch-transcription<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_knowledge_mining_and_document_intelligence_solutions-3\"><\/span><span style=\"font-weight: 400;\">Domain : Implement knowledge mining and document intelligence solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 21 :<\/strong> As you review your incident ticket volume, you realize that there is an upward trend observed in the incidents regarding Azure Cognitive Search queries. Following the next practices, you can identify and address the performance concerns. Review the answer choices below and choose the options that you will prefer to improve Cognitive Search queries performance. Keep the operational costs low. (select two answer choices)\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Reduce the content to maintain smaller indexes<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Select all properties of the fields while creating a search index<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Provide additional storage by adding disks<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Mapping a complex data type to a simpler type field<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>Upgrade to standard S2 storage and add additional search units<\/span><\/p>\n<p><b>Correct Answers:<\/b> <b>A and D<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is correct <\/b><span style=\"font-weight: 400;\">because smaller indexes would bring in faster query results. As data grows, the index becomes large, thereby slowing the search queries.<\/span><br \/>\n<b>Option B is incorrect <\/b><span style=\"font-weight: 400;\">because selecting fewer properties or only the properties that you need would improve query performance.<\/span><br \/>\n<b>Option C is incorrect <\/b><span style=\"font-weight: 400;\">because adding additional disk would not improve query performance. It would also increase your operational cost.<\/span><br \/>\n<b>Option D is correct <\/b><span style=\"font-weight: 400;\">because complex data types require additional storage and hence increases your operational cost. However, if there is an opportunity to map a complex data type to a simpler type field, you can save additional storage and resource cost while maintaining the search query performance.<\/span><br \/>\n<b>Option E is incorrect <\/b><span style=\"font-weight: 400;\">because upgrading to standard S2 storage and adding additional search units will increase the operational costs.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about performance tips of cognitive search index, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/search\/search-performance-tips\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/search\/search-performance-tips<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_generative_AI_solutions-4\"><\/span><span style=\"font-weight: 400;\">Domain : Implement generative AI solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 22 :<\/strong> You have existing Azure resources such as Bot channels, Cosmos DB, Blob storage, Language Understanding (LUIS), and QnA service. You plan to publish your bot to Azure Web App by importing existing Azure resources. Review the steps below and sequence them in the correct order or execution:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Step A: Select \u201cManage profiles\u201d in the \u201cPublish target\u201d section<\/span><br \/>\n<span style=\"font-weight: 400;\">Step B: Select the publish tab in the \u201cPublish your bot\u201d pane<\/span><br \/>\n<span style=\"font-weight: 400;\">Step C: In the Composer menu, select Publish<\/span><br \/>\n<span style=\"font-weight: 400;\">Step D: Select import existing Azure resources<\/span><br \/>\n<span style=\"font-weight: 400;\">Step E: Add profile by providing profile name and profile target as \u201cPublish bot to Azure\u201d\u00a0<\/span><br \/>\n<span style=\"font-weight: 400;\">Step F: Select \u201cPublish selected bots\u201d by choosing \u201cbot\u201d and \u201cPublish target\u201d<\/span><br \/>\n<span style=\"font-weight: 400;\">Step G: Select the bot that you want to publish<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Step G -&gt; Step B -&gt; Step A -&gt; Step E -&gt; Step D -&gt; Step C -&gt; Step F<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Step G -&gt; Step B -&gt; Step D -&gt; Step A -&gt; Step E -&gt; Step C -&gt; Step F<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Step C -&gt; Step B -&gt; Step G -&gt; Step E -&gt; Step A -&gt; Step D -&gt; Step F<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Step C -&gt; Step B -&gt; Step D -&gt; Step G -&gt; Step E -&gt; Step A -&gt; Step F<\/span><\/p>\n<p><b>Correct Answer: C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0Here is the correct order of the execution steps:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In the Composer menu, select Publish<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select the publish tab in \u201cPublish your bot\u201d pane<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select the bot that you want to publish<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Add profile by providing profile name and profile target as \u201cPublish bot to Azure\u201d\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select \u201cManage profiles\u201d in the \u201cPublish target\u201d section<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select import existing Azure resources<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select \u201cPublish selected bots\u201d by choosing \u201cbot\u201d and \u201cPublish target\u201d<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Given the order of steps in the explanation above, <\/span><b>Option A is incorrect<\/b><span style=\"font-weight: 400;\">.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the order of steps in the explanation above, <\/span><b>Option B is incorrect<\/b><span style=\"font-weight: 400;\">.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the order of steps in the explanation above, <\/span><b>Option C is correct<\/b><span style=\"font-weight: 400;\">.<\/span><br \/>\n<span style=\"font-weight: 400;\">Given the order of steps in the explanation above, <\/span><b>Option D is incorrect<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about publishing your bot to Azure, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/composer\/how-to-publish-bot?tabs=v2x\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">https:\/\/docs.microsoft.com\/en-us\/composer\/how-to-publish-bot?tabs=v2x<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-8\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 23 :<\/strong> To recognize specific phrases and intent in a recorded speech, you use Speech and Language Understanding services in Azure. For this configuration you create a SpeechConfig and IntentRecognizer object in your Language Understanding (LUIS) application. Review the code snippet below below and choose the which SubscriptionKey and ServiceRegion would you use to create SpeechConfig object<\/span><br \/>\n<span style=\"font-weight: 400;\">var config = SpeechConfig.FromSubscription(&#8220;SubscriptionKey&#8221;, &#8220;ServiceRegion&#8221;);<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>Speech service key<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Language Understanding (LUIS) primary key<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>Language Understanding (LUIS) location<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Speech service location<\/span><\/p>\n<p><b>Correct Answers:<\/b> <b>B and C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is incorrect<\/b><span style=\"font-weight: 400;\"> because the Speech subscription key is used to create a Speech service. However in the Language Understanding (LUIS) application, for intent recognition in a given speech, Language Understanding (LUIS) primary key is used.<\/span><br \/>\n<b>Option B is<\/b> <b>correct<\/b><span style=\"font-weight: 400;\"> because in the Language Understanding (LUIS) application, for intent recognition in a given speech, Language Understanding (LUIS) primary key is used. To get that you go to the Language Understanding (LUIS) prediction resource section of Azure resource under the Manage blade of the Language Understanding (LUIS) portal.<\/span><br \/>\n<b>Option C is correct<\/b><span style=\"font-weight: 400;\"> because you need to provide the Language Understanding (LUIS) service location or Azure region where Language Understanding (LUIS) service is provisioned.\u00a0<\/span><br \/>\n<b>Option D is incorrect<\/b><span style=\"font-weight: 400;\"> because the location for the Language Understanding (LUIS) service hosting region needs to be provided instead.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about SpeechConfig object creation for intent recognition, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/speech-service\/get-started-intent-recognition?pivots=programming-language-csharp\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/speech-service\/get-started-intent-recognition?pivots=programming-language-csharp<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Implement_natural_language_processing_solutions-9\"><\/span><span style=\"font-weight: 400;\">Domain : Implement natural language processing solutions<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 24 :<\/strong> In your application, you facilitate the identification of different entities in a given text. Using Text Analytics API in Azure, you categorize these entities into predefined classes.\u00a0 Review the endpoint given below and choose the one that is used for Named Entity Recognition<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>https:\/\/uksouth.cognitiveservices.azure.com\/text\/analytics\/v3.1\/entities\/recognition\/general<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>https:\/\/uksouth.cognitiveservices.azure.com\/text\/analytics\/v3.1\/entities\/recognition\/pii<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>https:\/\/uksouth.cognitiveservices.azure.com\/text\/analytics\/v3.1\/entities\/recognition\/pii?domain=phi<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>https:\/\/uksouth.cognitiveservices.azure.com\/text\/analytics\/v3.1\/entities\/linking<\/span><\/p>\n<p><b>Correct Answer:<\/b> <b>A<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is correct<\/b><span style=\"font-weight: 400;\"> because named entity recognition uses general entities to categorize them into classes such as person, organization and product. The JSON response that you will receive will provide you with values such as the text, category, length, offset and confidence score.<\/span><br \/>\n<b>Option B is incorrect<\/b><span style=\"font-weight: 400;\"> because endpoint text\/analytics\/v3.1\/entities\/recognition\/pii is used for personally identifiable information such as the email address and phone number.<\/span><br \/>\n<b>Option C is incorrect<\/b><span style=\"font-weight: 400;\"> because endpoint\u00a0 text\/analytics\/v3.1\/entities\/recognition\/pii?domain=phi is used to detect the health information.<\/span><br \/>\n<b>Option D is incorrect<\/b><span style=\"font-weight: 400;\"> because endpoint text\/analytics\/v3.1\/entities\/linking is used for entity linking. In the response you get the datasource and the url for the matches.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about Names Entity Recognition in Text Analytics, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-entity-linking?tabs=version-3-1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/text-analytics\/how-tos\/text-analytics-how-to-entity-linking?tabs=version-3-1<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Domain_Plan_and_manage_an_Azure_AI_solution-2\"><\/span><span style=\"font-weight: 400;\">Domain : Plan and manage an Azure AI solution<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><strong>Question 25 :<\/strong> You use Computer Vision OCR containers to extract printed text from a set of PDF documents. To configure the docker runtime environment, you use following docker run command:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">docker run &#8211;rm -it -p 5000:5000 \\<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;memory 2g &#8211;cpus 1 \\<\/span><br \/>\n<span style=\"font-weight: 400;\">&#8211;mount type=bind,src=\/home\/&lt;user&gt;\/output,target=\/output \\<\/span><br \/>\n<span style=\"font-weight: 400;\">&lt;registry-location&gt;\/&lt;image-name&gt; \\<\/span><br \/>\n<span style=\"font-weight: 400;\">Eula=accept \\<\/span><br \/>\n<span style=\"font-weight: 400;\">Billing=&lt;endpoint&gt; \\<\/span><br \/>\n<span style=\"font-weight: 400;\">ApiKey=&lt;api-key&gt; \\<\/span><br \/>\n<span style=\"font-weight: 400;\">HTTP_PROXY=&lt;proxy-url&gt; \\<\/span><br \/>\n<span style=\"font-weight: 400;\">HTTP_PROXY_CREDS=&lt;proxy-user&gt;:&lt;proxy-password&gt; \\<\/span><br \/>\n<span style=\"font-weight: 400;\">Logging:Disk:Format=json<\/span><br \/>\n<span style=\"font-weight: 400;\">In this command, multiple configuration settings are used. Review the answer choices below and choose settings that are optional. (choose two answer choices)<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>A. <\/strong>ApiKey<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>B. <\/strong>Logging<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>C. <\/strong>HTTP_PROXY<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>D. <\/strong>Eula<\/span><br \/>\n<span style=\"font-weight: 400;\"><strong>E. <\/strong>Billing<\/span><\/p>\n<p><b>Correct Answers:<\/b> <b>B and C<\/b><\/p>\n<p><b>Explanation<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><b>Option A is incorrect <\/b><span style=\"font-weight: 400;\">because the ApiKey setting is a required setting to track container\u2019s billing information. You can find the ApiKey\u00a0 in the Azure Portal, under the management blade of the Cognitive Services Resource.<\/span><br \/>\n<b>Option B is<\/b> <b>correct <\/b><span style=\"font-weight: 400;\">because Logging is an optional setting. It offers the ASP.NET Core logging support for the containers. You can also use this setting for the debug purpose.<\/span><br \/>\n<b>Option C is correct <\/b><span style=\"font-weight: 400;\">because HTTP_PROXY is also an optional setting. If you have a requirement to configure a proxy for outbound calls, use this setting in your docker run command.<\/span><br \/>\n<b>Option D is incorrect <\/b><span style=\"font-weight: 400;\">because Eula is a required setting that states that you have accepted the license agreement for the container.<\/span><br \/>\n<b>Option E is incorrect <\/b><span style=\"font-weight: 400;\">because Billing is a required setting as it provides the billing endpoint url for the cognitive service. You can find this value in the Azure Portal, under the overview blade of the Cognitive service resource.<\/span><\/p>\n<p><b>Reference: <\/b><span style=\"font-weight: 400;\">To learn more about configuring the Read OCR Docker containers, use the link given below: <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/computer-vision-resource-container-config?tabs=version-3-2\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/docs.microsoft.com\/en-us\/azure\/cognitive-services\/computer-vision\/computer-vision-resource-container-config?tabs=version-3-2<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Summary\"><\/span>Summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>So, here we have covered the top 25+ Microsoft Azure AI Solutions AI-102 practice exam questions &amp; answers. We hope the above list of AI-102 exam questions on Microsoft Azure AI Solutions are helpful for you to prepare. The key to getting success in the AI-102 exam is going through as many questions as you can. The more questions you will go through, it will only increase your chance of clearing the certification exam.<\/p>\n<p class=\"p6\"><span class=\"s1\">So, wish you luck with your Designing and Implementing Microsoft Azure AI Solutions AI-102 exam !<\/span><\/p>\n<p class=\"p6\"><span class=\"s1\">Have any questions or concerns? Just write down in the comment section, we will get back to you.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Are you looking for free AI-102 exam questions and answers to prepare for Designing and Implementing a Microsoft Azure AI Solution certification exam? Here are our\u00a0newly updated 25+ Free questions on the Microsoft Azure AI Solution certification exam which are very similar to the practice test as well as the real exam. Why do we provide Microsoft Azure AI Solution certification\u00a0 AI-102 exam for free? We provide Microsoft Azure AI Solution certification AI-102 exam for free because we want to help people learn about artificial intelligence and how it can be used to solve real-world problems. Azure AI is a 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Gumaste","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/pavan\/"},"uagb_comment_info":17,"uagb_excerpt":"Are you looking for free AI-102 exam questions and answers to prepare for Designing and Implementing a Microsoft Azure AI Solution certification exam? Here are our\u00a0newly updated 25+ Free questions on the Microsoft Azure AI Solution certification exam which are very similar to the practice test as well as the real exam. Why do we&hellip;","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/85317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=85317"}],"version-history":[{"count":14,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/85317\/revisions"}],"predecessor-version":[{"id":91812,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/85317\/revisions\/91812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media\/85340"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=85317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=85317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=85317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}