{"id":99802,"date":"2025-07-10T14:30:56","date_gmt":"2025-07-10T09:00:56","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=99802"},"modified":"2025-07-10T14:30:56","modified_gmt":"2025-07-10T09:00:56","slug":"top-10-topics-to-master-for-the-ai-900-exam","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/top-10-topics-to-master-for-the-ai-900-exam\/","title":{"rendered":"Top 10 Topics to Master for the AI-900 Exam"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In this blog, I am going to deconstruct the top 10 topics you should learn to pass the <\/span><a title=\"AI-900: Microsoft Azure AI Fundamentals\" href=\"https:\/\/www.whizlabs.com\/microsoft-azure-certification-ai-900\/\" target=\"_blank\" rel=\"noopener\"><b>AI-900: Microsoft Azure AI Fundamentals<\/b><\/a> <span style=\"font-weight: 400;\">exam. I will share my personal experiences, relatable insights, and helpful tips so that your preparation process will be enjoyable and entertaining. So, let us jump in!<\/span><\/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-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.whizlabs.com\/blog\/top-10-topics-to-master-for-the-ai-900-exam\/#Why_I_Chose_the_AI-900_Exam\" >Why I Chose the AI-900 Exam<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.whizlabs.com\/blog\/top-10-topics-to-master-for-the-ai-900-exam\/#_1_Understand_AI_Workloads_and_Principles\" >\u00a01. Understand AI Workloads and Principles<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_2_Machine_Learning_Fundamentals\" >\u00a02. Machine Learning Fundamentals<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_3_Computer_Vision_Capabilities\" >\u00a03. Computer Vision Capabilities<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_4_Natural_Language_Processing_NLP\" >\u00a04. Natural Language Processing (NLP)<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_5_Conversational_AI\" >\u00a05. Conversational AI<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_6_Knowledge_Mining\" >\u00a06. Knowledge Mining<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_7_Azure_AI_Services_Overview\" >\u00a07. Azure AI Services Overview<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_8_Responsible_AI_Principles\" >\u00a08. Responsible AI Principles<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#_9_AI_Solution_Development_Process\" >\u00a09. AI Solution Development Process<\/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\/top-10-topics-to-master-for-the-ai-900-exam\/#10_Common_AI_Scenarios_and_Use_Cases\" >10. Common AI Scenarios and Use Cases<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.whizlabs.com\/blog\/top-10-topics-to-master-for-the-ai-900-exam\/#My_Study_Strategy_What_worked_and_what_did_not\" >My Study Strategy: What worked and what did not<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.whizlabs.com\/blog\/top-10-topics-to-master-for-the-ai-900-exam\/#Wrapping_Up_Youve_Got_This\" >Wrapping Up: You\u2019ve Got This!<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Why_I_Chose_the_AI-900_Exam\"><\/span><b>Why I Chose the AI-900 Exam<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">I remember the moment when I decided to take the AI-900 examination and was excited, a little but a bit nervous, and did not know where to begin. The world of AI sounds overwhelming, but believe me, the exam is not advanced, and all you have to do is prepare your mind, and you will walk into a test venue (or online examination room) with a lot of confidence.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I am not a data scientist or a machine learning professional, but a person who is interested in AI and the way it is changing the world. I am in IT, and I observed that there was an AI everywhere, be it chatbots or predictive analytics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I wanted to understand the basics and prove my knowledge with a recognized certification. The AI-900, being a fundamentals-level exam, was perfect for me. No coding is required, just a solid grasp of concepts. If you\u2019re like me, maybe dipping your toes into AI for career growth or curiosity, this exam is your gateway. Now, let\u2019s get to the good stuff: the top 10 topics you need to nail.<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-99809\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900.webp\" alt=\"top-10-topics-to-pass-ai-900\" width=\"1702\" height=\"724\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900.webp 1702w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900-300x128.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900-1024x436.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900-768x327.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900-1536x653.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/top-10-topics-you-need-know-to-pass-ai-900-150x64.webp 150w\" sizes=\"(max-width: 1702px) 100vw, 1702px\" \/><\/p>\n<h3><span class=\"ez-toc-section\" id=\"_1_Understand_AI_Workloads_and_Principles\"><\/span><span style=\"font-weight: 400;\">\u00a01. Understand AI Workloads and Principles<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">When I first started studying, I was intimidated by the term \u201cAI workloads.\u201d It sounded so technical! But it\u2019s just a fancy way of saying \u201cthe different ways AI can be used.\u201d\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">For the AI-900, you need to know the core AI workloads like machine learning, computer vision, natural language processing (NLP), conversational AI, and knowledge mining. I found it helpful to think of these as tools in a toolbox. For example, machine learning is like a recipe that learns to improve over time, while computer vision is like teaching a computer to \u201csee\u201d images.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\"><strong>Tip:<\/strong> Focus on what each workload does. For instance, NLP is about understanding text or speech (think Siri or Grammarly).<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_2_Machine_Learning_Fundamentals\"><\/span><span style=\"font-weight: 400;\">\u00a02. Machine Learning Fundamentals<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">ML involves training models to predict or make decisions using data.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Supervised and unsupervised learning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Training, validation, and testing sets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Machine Learning: Know that it\u2019s a platform to build, train, and deploy models. <\/span><span style=\"font-weight: 400;\">You do not need to code, but you need to know such terms as &#8220;model,&#8221; &#8220;training pipeline,&#8221; and &#8220;endpoint.&#8221;<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">I used the Whizlabs video courses. They explain ML with simple examples, like predicting house prices (supervised) or grouping customers (unsupervised).<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_3_Computer_Vision_Capabilities\"><\/span><span style=\"font-weight: 400;\">\u00a03. Computer Vision Capabilities<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Computer vision was my favorite topic because it\u2019s so cool, teaching computers to \u201csee\u201d! For the AI-900, you\u2019ll need to know about Azure\u2019s Computer Vision service, which can analyze images for things like objects, text, or faces. I was amazed to learn how it powers apps like self-driving cars or photo-tagging on social media.<\/span><\/p>\n<p><b>Focus on:<br \/>\n<\/b><b>Image classification<\/b><span style=\"font-weight: 400;\">: Labeling an image.<br \/>\n<\/span><b>Object detection<\/b><span style=\"font-weight: 400;\">: It is the recognition and location of objects within an image.<br \/>\n<\/span><b>Optical Character Recognition (<\/b><a title=\"OCR\" href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/ai-services\/computer-vision\/overview-ocr\" target=\"_blank\" rel=\"nofollow noopener\"><b>OCR<\/b><\/a><b>):<\/b><span style=\"font-weight: 400;\"> Extracting text from images, such as scanning a menu.<br \/>\n<\/span><b>Face API<\/b><span style=\"font-weight: 400;\">: Recognizing faces or faces with emotional or identity recognition (and ethically too!).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I suggest you have hands-on experience(I used the Hands-on labs included in my Whizlabs subscription), as it helped me visualize how these services work. Also, expect scenario-based questions, like \u201cWhich service would you use to extract text from a scanned document?\u201d<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_4_Natural_Language_Processing_NLP\"><\/span><span style=\"font-weight: 400;\">\u00a04. Natural Language Processing (NLP)<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">NLP is all about making computers understand human language, and it\u2019s a big deal on the AI-900. Think of chatbots, translation apps, or sentiment analysis (figuring out if a tweet is positive or negative). Azure\u2019s Language Service is your go-to for extracting key phrases, sentiment, or entities (such as names or places) out of text for text analytics.<\/span><\/p>\n<p><b>Translation: <\/b><span style=\"font-weight: 400;\">Changing language between two languages.<br \/>\n<\/span><b>Speech services<\/b><span style=\"font-weight: 400;\">: speaker recognition, Speech-to-text, and text-to-speech<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_5_Conversational_AI\"><\/span><span style=\"font-weight: 400;\">\u00a05. Conversational AI<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This is where things get fun. Think chatbots! Conversational AI is about creating systems that talk to users naturally, like a virtual customer service agent. Azure\u2019s Bot Service and Q &amp; A Maker (now part of Azure Language) are important.<\/span><\/p>\n<p><b>What to know:<br \/>\n<\/b><span style=\"font-weight: 400;\"><strong>QnA Maker:<\/strong> changes FAQs into a question-answering chatbot.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Bot Framework:<\/strong> a framework to create more advanced bots.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Application scenarios:<\/strong> Customer services, booking applications, or virtual agents.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I imagined designing a chatbot for my favorite coffee shop. How would it handle \u201cWhat\u2019s the Wi-Fi password?\u201d or \u201cCan you make it quick?\u201d This helped me understand how to structure a bot\u2019s responses. Expect questions on choosing the right tool for a scenario, like QnA Maker for simple FAQs.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_6_Knowledge_Mining\"><\/span><span style=\"font-weight: 400;\">\u00a06. Knowledge Mining<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Knowledge mining was new to me, but it\u2019s about digging insights from unstructured data (like PDFs, emails, or reports) using Azure\u2019s Cognitive Search.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Indexing:<\/strong> Organizing data so it\u2019s searchable.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Skills:<\/strong> Adding AI capabilities like entity recognition or key phrase extraction to searches.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Use cases:<\/strong> Legal document analysis, customer feedback processing, etc.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_7_Azure_AI_Services_Overview\"><\/span><span style=\"font-weight: 400;\">\u00a07. Azure AI Services Overview<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The AI-900 loves testing your knowledge of Azure\u2019s AI tools. You don\u2019t need to memorize every detail, but know the big players:<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-99808\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900.webp\" alt=\"big-players-ai-900\" width=\"1702\" height=\"461\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900.webp 1702w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900-300x81.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900-1024x277.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900-768x208.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900-1536x416.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/the-big-players-ai-900-150x41.webp 150w\" sizes=\"(max-width: 1702px) 100vw, 1702px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_8_Responsible_AI_Principles\"><\/span><span style=\"font-weight: 400;\">\u00a08. Responsible AI Principles<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Microsoft holds responsible AI as important, and so is the AI-900. The six principles are<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-99807\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles.webp\" alt=\"responsible ai principles\" width=\"1702\" height=\"464\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles.webp 1702w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles-300x82.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles-1024x279.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles-768x209.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles-1536x419.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2025\/07\/responsible-ai-principles-150x41.webp 150w\" sizes=\"(max-width: 1702px) 100vw, 1702px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">I related these to real life. For example, fairness is like ensuring a job application AI doesn\u2019t favor one group over another. Expect scenario questions, like \u201cHow would you ensure an AI hiring tool is fair?\u201d<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"_9_AI_Solution_Development_Process\"><\/span><span style=\"font-weight: 400;\">\u00a09. AI Solution Development Process<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This subject is regarding the process of developing an AI solution, from the identification of the problem to the delivery of the model. This seemed to me like a recipe: get ingredients (data), mix (train), bake (deploy), and serve (monitor).<\/span><\/p>\n<p><b>Find the problem<\/b><span style=\"font-weight: 400;\">: What is it you are solving?<br \/>\n<\/span><b>Clean data<\/b><span style=\"font-weight: 400;\">: clean and arrange information.<br \/>\n<\/span><b>Train the model<\/b><span style=\"font-weight: 400;\">: employs Azure tools such as ML Studio.<br \/>\n<\/span><b>Test and implement:<\/b><span style=\"font-weight: 400;\"> Test the model and release it.<br \/>\n<\/span><b>Monitor<\/b><span style=\"font-weight: 400;\">: Watch performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is what I imagined as planning a road trip: setting a destination, packing supplies, driving, and inspecting the car.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"10_Common_AI_Scenarios_and_Use_Cases\"><\/span><span style=\"font-weight: 400;\">10. Common AI Scenarios and Use Cases<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The AI-900 loves throwing scenario-based questions at you, like \u201cWhich Azure service would a retailer use to predict sales?\u201d You need to match AI workloads to real-world problems.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Retail:<\/strong> Predict demand using ML, and analyze customer reviews with NLP.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Healthcare:<\/strong> Detect diseases with computer vision, and transcribe doctor notes with speech services.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Customer Service:<\/strong> Build chatbots with Bot Service.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"My_Study_Strategy_What_worked_and_what_did_not\"><\/span><b>My Study Strategy: What worked and what did not<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">When I started preparing, I gave myself six weeks (2 productive weeks), studying 1\u20132 hours a day. Here\u2019s what worked for me:<\/span><\/p>\n<p><b>Microsoft Learn:<\/b><span style=\"font-weight: 400;\"> Their free AI-900 learning path is gold. It\u2019s interactive and covers all topics.<br \/>\n<\/span><b>Practice Tests: <\/b><span style=\"font-weight: 400;\">I used Whizlabs. They mimic the real test\u2019s scenario-based questions. Don&#8217;t miss this.<br \/>\n<\/span><a title=\"Hands-On Labs\" href=\"https:\/\/www.whizlabs.com\/labs\/\" target=\"_blank\" rel=\"noopener\"><b>Hands-On Labs<\/b><\/a><span style=\"font-weight: 400;\">: I played with the AI services, did not break my bank, and had the hands-on labs and <\/span><a title=\"Sandbox\" href=\"https:\/\/www.whizlabs.com\/labs\/sandbox\/\" target=\"_blank\" rel=\"noopener\"><b>Sandbox<\/b><\/a><span style=\"font-weight: 400;\"> combo from Whizlabs again.<br \/>\n<\/span><span style=\"font-weight: 400;\"><strong>Flashcards and Notes:<\/strong> I used Anki for key terms and a notebook for scenarios, Copilot to be a study buddy, and I watched a couple of YouTube videos to revise, and finally went through the cheatsheet.<br \/>\n<\/span><b>One thing I learned<\/b><span style=\"font-weight: 400;\">: don\u2019t cram everything. Focus on understanding, not memorizing. The exam is multiple-choice, with about 40\u201360 questions, and you have 60 minutes. I finished with time to spare by practicing time management. Know more about my<\/span><a title=\"AI-900 preparation\" href=\"https:\/\/www.whizlabs.com\/blog\/how-i-passed-the-ai-900-as-a-non-techie\/\" target=\"_blank\" rel=\"noopener\"><b> AI-900 preparation<\/b><\/a> <span style=\"font-weight: 400;\">with a quick read.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Wrapping_Up_Youve_Got_This\"><\/span><b>Wrapping Up: You\u2019ve Got This!<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">I went from feeling intimidated to confidently explaining AI concepts. By learning these top 10 topics: AI workloads, machine learning, computer vision, NLP, conversational AI, knowledge mining, Azure services, responsible AI, solution development, and use cases, you\u2019ll be ready to ace the exam. Apply the concepts to real life, use Whizlabs and Microsoft Learn, and scenario practice.\u00a0 Any questions, or would you like to share your prep journey? Drop a comment, and I would love to read about it. Good luck!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this blog, I am going to deconstruct the top 10 topics you should learn to pass the AI-900: Microsoft Azure AI Fundamentals exam. I will share my personal experiences, relatable insights, and helpful tips so that your preparation process will be enjoyable and entertaining. So, let us jump in! Why I Chose the AI-900 Exam I remember the moment when I decided to take the AI-900 examination and was excited, a little but a bit nervous, and did not know where to begin. The world of AI sounds overwhelming, but believe me, the exam is not advanced, and all [&hellip;]<\/p>\n","protected":false},"author":438,"featured_media":99806,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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Sree Gowthaman","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/banu-sree\/"},"uagb_comment_info":2,"uagb_excerpt":"In this blog, I am going to deconstruct the top 10 topics you should learn to pass the AI-900: Microsoft Azure AI Fundamentals exam. I will share my personal experiences, relatable insights, and helpful tips so that your preparation process will be enjoyable and entertaining. So, let us jump in! Why I Chose the AI-900&hellip;","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/99802","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\/438"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=99802"}],"version-history":[{"count":6,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/99802\/revisions"}],"predecessor-version":[{"id":99812,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/99802\/revisions\/99812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media\/99806"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=99802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=99802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=99802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}