{"id":91696,"date":"2023-10-27T06:41:17","date_gmt":"2023-10-27T12:11:17","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=91696"},"modified":"2024-06-24T13:10:22","modified_gmt":"2024-06-24T07:40:22","slug":"artificial-intelligence-interview-questions","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/artificial-intelligence-interview-questions\/","title":{"rendered":"Top Artificial Intelligence (AI) Interview Questions &#038; Answers"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><strong>Artificial Intelligence (AI)<\/strong> has rapidly evolved into a transformative field, leaving its footprint in almost every industry.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In today&#8217;s landscape, nearly every company seeks AI Engineers and professionals to integrate <\/span><a href=\"https:\/\/www.whizlabs.com\/microsoft-azure-certification-ai-900\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Artificial Intelligence: AI-900<\/span><\/a><span style=\"font-weight: 400;\"> into their systems, aiming to enhance the customer experience and offer additional functionalities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When it comes to AI job interviews, both interviewers and candidates must be well-prepared. So, we have compiled Artificial Intelligence interview questions and answers to help both parties navigate the AI landscape effectively, <strong>ensuring a successful and insightful exchange<\/strong> during the interview process.<\/span><\/p>\n<p><em><span style=\"font-weight: 400;\">Let\u2019s explore now!<\/span><\/em><\/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\/artificial-intelligence-interview-questions\/#Top_30_Artificial_Intelligence_AI_Interview_Questions_Answers\" >Top 30 Artificial Intelligence (AI) Interview Questions &amp; Answers<\/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\/artificial-intelligence-interview-questions\/#Artificial_Intelligence_Interview_Questions_for_Advanced_Learners\" >Artificial Intelligence Interview Questions for Advanced Learners<\/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\/artificial-intelligence-interview-questions\/#12_What_do_you_mean_by_Q-learning\" >12. What do you mean by Q-learning?<\/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\/artificial-intelligence-interview-questions\/#Artificial_Intelligence_Scenario-Based_Question_Answers\" >Artificial Intelligence Scenario-Based Question &amp; Answers<\/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\/artificial-intelligence-interview-questions\/#23_Imagine_youre_acquainted_with_a_farmer_who_shares_that_despite_putting_in_significant_effort_on_the_farm_his_crop_yields_continue_to_decline_How_could_artificial_intelligence_come_to_help_in_this_situation\" >23. Imagine you&#8217;re acquainted with a farmer who shares that, despite putting in significant effort on the farm, his crop yields continue to decline. How could artificial intelligence come to help in this situation?<\/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\/artificial-intelligence-interview-questions\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Top_30_Artificial_Intelligence_AI_Interview_Questions_Answers\"><\/span><strong>Top 30 Artificial Intelligence (AI) Interview Questions &amp; Answers<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Here are a few Artificial Intelligence important\u00a0 Interview questions and answers for you:<\/span><\/p>\n<h4><b>Artificial Intelligence Interview Questions for Freshers<\/b><\/h4>\n<p><b>1. What is Artificial Intelligence and its types?<\/b><\/p>\n<p><b>Artificial intelligence definition: <\/b><span style=\"font-weight: 400;\">Artificial intelligence (AI) refers to the theory and development of computer systems that can do the tasks that need historical human intelligence data, such as how to recognize speech, make decisions, and identify patterns. AI integrates some of the innovative techniques such as<\/span><a href=\"https:\/\/www.whizlabs.com\/blog\/comparing-machine-learning-as-a-service\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\"> machine learning<\/span><\/a><span style=\"font-weight: 400;\">, deep learning, and natural language processing (NLP).\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While coming to AI Types, it has been classified into seven types, they are:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Weak AI or Narrow AI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">General AI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Super AI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reactive Machines<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Limited Memory<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Theory of Mind<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Self-awareness<\/span><\/li>\n<\/ol>\n<p><b>2. What is the difference between AI, deep learning and machine learning?<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Aspect<\/b><\/td>\n<td><b>Artificial Intelligence (AI)<\/b><\/td>\n<td><b>Machine Learning (ML)<\/b><\/td>\n<td><b>Deep Learning (DL)<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Definition<\/span><\/td>\n<td><span style=\"font-weight: 400;\">AI enables machines to emulate human brain functions.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">ML involves data processing, learning, and decision-making.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DL uses Artificial Neural Networks for complex problem-solving.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Goal<\/span><\/td>\n<td><span style=\"font-weight: 400;\">AI aims to enable machines to think autonomously, reducing the need for human intervention.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">ML&#8217;s goal is for machines to learn from past experiences.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DL employs various algorithms to address complex problems, much like the human brain.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data Types<\/span><\/td>\n<td><span style=\"font-weight: 400;\">AI can handle both structured and semi-structured data.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">ML is effective with structured and semi-structured data.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DL utilizes structured and unstructured data for problem-solving.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Hierarchy<\/span><\/td>\n<td><span style=\"font-weight: 400;\">AI falls under the umbrella of data science.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">ML is a subset of AI.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DL is a subset of Machine Learning.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Examples<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Example: Google Search engine.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Example: Image recognition.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Example: Automatic car driving system.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><b>3. What is Deep Learning?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Deep learning falls under the umbrella of machine learning and it utilizes artificial neural networks for resolving complex problems. The AI concepts were introduced after getting inspired by human brains. Deep learning endows the capacity to approach a problem and resolve it akin to the human brain&#8217;s approach in that context. The term &#8216;deep&#8217; in deep learning signifies the abundance of concealed layers within the neural network. Deep learning models are designed with the ability to autonomously train and govern themselves.<\/span><\/p>\n<p><b>4. Who is the father of AI?\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\"><strong>John McCarthy<\/strong>, an American computer scientist, holds the esteemed title of the <strong>&#8220;father of Artificial Intelligence.&#8221;<\/strong> He is notably credited with coining the term &#8220;artificial intelligence&#8221; and is counted among the pioneers of this field, alongside individuals like Alan Turing, Marvin Minsky, Allen Newell, and Herbert A.<\/span><\/p>\n<p><b>5. What are platforms available for Artificial Intelligence (AI) development?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Some of the platforms available for AI development such as:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Amazon AI services<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tensorflow<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Google AI services<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Microsoft Azure AI platform<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Infosys Nia<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IBM Watson<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">H2O<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Polyaxon<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PredictionIO<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Salesforce<\/span><\/li>\n<\/ol>\n<p><b>6. What are common misconceptions about artificial Intelligence?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Here are some misconceptions stated about artificial intelligence, they are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Machines can learn from themselves: <\/b><span style=\"font-weight: 400;\">The machines do not attain that stage where they can make their decision by themselves. Machines always learn via a process called machine learning and develop based on experiences without the need for explicit programming. Machine learning comes up with a set of computer programs to access and learn the data on their own.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Artificial Intelligence and Machine learning are the same: <\/b><span style=\"font-weight: 400;\">Artificial Intelligence and Machine learning vary from each other. Artificial Intelligence deals with creating devices that mimic human intelligence, while machine learning is a subcategory of artificial intelligence and it involves creating programs for analyzing data, learning from it, and then making decisions.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Artificial Intelligence replaces humans: <\/b><span style=\"font-weight: 400;\">There&#8217;s a chance that AI&#8217;s capabilities may soon equal or even surpass human intelligence. However, suggesting that AI will dominate over humans is purely a product of imagination. AI is intended to enhance human intelligence, not enslave it.<\/span><\/li>\n<\/ul>\n<p><b>7. What are the programming languages used in Artificial Intelligence?<\/b><\/p>\n<p><strong>Python, R, Lisp, Java, Julia, \u00a0C++, Javascript, <\/strong><span style=\"font-weight: 400;\"><strong>and Prolog<\/strong> are the frequently employed programming languages in the realm of artificial intelligence.<\/span><\/p>\n<p><b style=\"font-style: inherit;\">8. Give some real-life applications of AI.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Here are some real-time applications of artificial intelligence:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Virtual aides such as Siri and Alexa.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Systems for suggesting products on e-commerce platforms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Identifying fraudulent activities within financial institutions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Self-driving cars.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Natural language processing for chatbots and customer support.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Recognizing images and faces in security systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Healthcare systems for medical diagnoses.<\/span><\/li>\n<\/ul>\n<p><b style=\"font-style: inherit;\">9. What is a Bayesian network?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Bayesian network is a <strong>type of probabilistic graphical model<\/strong> that revolves around a collection of variables and their interconnections, presented in the structure of a graph without loops. These networks rely on the principles of probability distribution to make predictions, identify irregularities, and leverage probability theory to understand various outcomes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bayesian networks <strong>serve a wide range of purposes<\/strong>, including forecasting, anomaly detection, logical reasoning, gaining insights, diagnostic processes, and supporting decision-making. For instance, you can use a Bayesian network to visually depict the likelihood relationships between different diseases and their associated symptoms. This network can be employed to compute the probabilities of specific diseases being present based on the observed symptoms.<\/span><\/p>\n<p><b>10. What is game theory?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Game theory is a field within artificial intelligence that seeks to <strong>model strategic interactions<\/strong> between two equally rational players. In this framework, each player is driven by self-interest and aims to maximize their potential reward through specific strategies. Players adhere to established rules that determine the ultimate payoff or reward they receive. So, we can describe a game as comprising players, actions, strategies, and a final reward.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Game theory was introduced due to the collaborative efforts of mathematician John von Neumann and economist Oskar Morgenstern during the 1940s. Subsequently, in the 1950s, numerous other researchers and scholars made substantial contributions to its development.<\/span><\/p>\n<p><b>11. What is the future of artificial intelligence?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence has significantly affected various parts of human life and almost all industries, and this impact is expected to continue. AI has been crucial in developing new technologies like the <strong>Internet of Things, big data analysis, and robotics.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0It has the impressive ability to handle large amounts of data and quickly make the best decisions, which would be very difficult for an average person. AI is leading in important areas for humanity, such as improving cancer research, innovative solutions for addressing climate change, smart cars, and space exploration.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI is projected to experience a remarkable annual growth rate of <\/span><b>37.3% from 2023 to 2030<\/b><span style=\"font-weight: 400;\">, according to findings by <\/span><a href=\"https:\/\/www.grandviewresearch.com\/industry-analysis\/artificial-intelligence-ai-market#:~:text=The%20global%20artificial%20intelligence%20market%20is%20expected%20to%20grow%20at,USD%201%2C811.8%20billion%20by%202030.\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Grand View Research<\/span><\/a><span style=\"font-weight: 400;\">. This sustained surge underscores the ever-expanding influence of AI technologies in the years to come, as they continue to reshape diverse industries.<\/span><\/p>\n<blockquote><p>Also Read :\u00a0<a href=\"https:\/\/www.whizlabs.com\/blog\/big-data-and-ai\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">How are Big Data and AI Changing the Business World?<\/span><\/a><\/p><\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"Artificial_Intelligence_Interview_Questions_for_Advanced_Learners\"><\/span><strong>Artificial Intelligence Interview Questions for Advanced Learners<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h3><span class=\"ez-toc-section\" id=\"12_What_do_you_mean_by_Q-learning\"><\/span><b style=\"font-size: 16px; font-style: inherit;\">12. What do you mean by Q-learning?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Q-learning is a form of reinforcement learning algorithm that allows machines to learn optimal behaviors within a specific environment through a process of trial and error. It&#8217;s a widely recognized approach in the realms of machine learning and artificial intelligence, with applications spanning various domains, such as robotics, game theory, and control systems.<\/span><\/p>\n<p><b style=\"font-style: inherit;\">13. Distinguish between parametric and non-parametric models.<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Aspect<\/b><\/td>\n<td><b>Parametric Model<\/b><\/td>\n<td><b>Non-Parametric Model<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Parameter Flexibility<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Parametric models use a fixed number of parameters to construct the model.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Non-parametric models employ a flexible number of parameters to build the model.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Analysis Focus<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Parametric analysis typically examines group means.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Non-parametric analysis is geared towards testing medians.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Applicability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Parametric models are suitable for variables.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Non-parametric models apply to both variables and attributes.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Versatility<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Parametric methods are effective in various scenarios, with optimal performance when group dispersions differ.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Similarly, Non-Parametric methods can perform well in various conditions, excelling when group dispersions are similar.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Assumptions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Parametric models impose strong assumptions on the data.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Non-parametric models make fewer assumptions about the data.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Examples<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Examples of Parametric models include Naive Bayes and logistic regression.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Examples of Non-Parametric models include KNN.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>14. How we can test the intelligence of a machine?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The Turing Test is a method in the field of artificial intelligence (AI) used to determine <strong>whether a computer can exhibit human-like thinking<\/strong>. It&#8217;s named after <strong>Alan Turing<\/strong>, an English computer scientist, cryptanalyst, mathematician, and theoretical biologist who introduced the concept.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Turing suggested that a computer could be deemed to possess artificial intelligence if it can imitate human responses in certain conditions. The original Turing Test involves three separate terminals. One terminal is controlled by a computer, while the other two are operated by humans.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this test, one of the humans takes on the role of the questioner, while the second human and the computer act as respondents. The questioner poses questions to the respondents within a specific topic area, using predefined rules and context. After a set amount of time or a specific number of questions, the questioner is asked to determine which respondent is human and which one is a computer.<\/span><\/p>\n<p><b>15. What is Reinforcement Learning?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Reinforcement learning is a domain within <strong>machine learning that operates<\/strong> on models driven by rewards to make predictions and decisions. It relies on a feedback system where a machine is rewarded for making good decisions and receives negative feedback for poor performance.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This approach motivates the machine to discover the most effective behavior in specific situations. In contrast to supervised learning, in reinforcement learning, the agent learns independently through feedback and doesn&#8217;t rely on labeled data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Reinforcement learning is employed to address specific problems that involve sequential decision-making and have long-term objectives. This includes applications like playing games, robotics, and more.<\/span><\/p>\n<p><b>16. What is overfitting?\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Overfitting in data science occurs when a <strong>model doesn&#8217;t fit new data very well<\/strong>. It&#8217;s like when you teach a model with data, and it gets confused by unexpected things that don&#8217;t match its usual patterns. This happens when the model has trouble making accurate predictions with new data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are some <\/span><span style=\"font-weight: 400;\">strategies to Prevent Overfitting:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cross-validation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Feature Removal<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Early Stopping<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Increased Data Training<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Regularization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensemble Learning<\/span><\/li>\n<\/ul>\n<p><b>17. What is NLP?<\/b><\/p>\n<p><a href=\"https:\/\/www.whizlabs.com\/blog\/top-machine-learning-tools\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Natural language processing (NLP)<\/span><\/a><span style=\"font-weight: 400;\"> is a branch of machine learning that empowers computers to understand, manipulate, and make sense of human language.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In today&#8217;s world, organizations accumulate vast amounts of voice and text data from various sources like emails, text messages, social media updates, videos, and audio recordings. NLP technology is employed to automatically handle this data, decipher the intent or sentiment behind the messages, and provide real-time responses to human communication.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NLP plays a crucial role in effectively analyzing text and speech data, irrespective of dialects, slang, or grammatical idiosyncrasies encountered in everyday conversations. Businesses leverage NLP for numerous automated tasks, including<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Processing, analyzing, and archiving extensive documents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Evaluating customer feedback and call center interactions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Employing chatbots for automated customer service<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Addressing who, what, when, and where inquiries<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Categorizing and extracting relevant information from text<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Furthermore, integrating NLP into customer-facing applications can enhance communication and engagement with customers.<\/span><\/p>\n<p><b>18. What is Markov\u2019s decision process?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Markov&#8217;s decision process (MDP) is a <strong>mathematical framework in reinforcement learning<\/strong>. It helps solve problems where outcomes have both random and controlled elements. To navigate a complex problem using MDP, we need:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Agent:<\/strong> The entity we&#8217;re training, like a robot assisting in cooking.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Environment:<\/strong> The surroundings of the agent, like the kitchen for the robot.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>State (S):<\/strong> It represents the current situation of the agent, including its position, temperature, posture, etc.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Action (A):<\/strong> These are the moves or decisions the agent can make, such as moving left or passing an onion.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Policy (\ud835\udf0b):<\/strong> The strategy or reasoning behind taking actions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Reward (R):<\/strong> The agent gets a reward for making desirable choices.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Value (V):<\/strong> It represents the potential future rewards the agent can earn.<\/span><\/li>\n<\/ul>\n<p><b>19. What is fuzzy logic?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Fuzzy logic (FL) is an <strong>Artificial Intelligence reasoning method that mimics human-like thinking<\/strong>. Unlike conventional logic, which deals with binary outcomes (True or False), fuzzy logic allows results to have a range of values, such as definitely yes, probably yes, unsure, possibly no, or definitely no. This contrasts with the strict computer logic that provides either a <strong>YES or NO answer<\/strong>, akin to human responses of YES or NO.<\/span><\/p>\n<p><b style=\"font-style: inherit;\">20. What is Semantic analysis?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Semantic analysis is a process that involves <strong>making sense of natural language (text)<\/strong> by uncovering valuable insights like context, emotions, and sentiments from unstructured data. It equips computers and systems with the capability to comprehend, interpret, and extract meanings from sentences, paragraphs, reports, records, files, or similar documents.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This analysis delves into the grammatical structure of sentences, examining how words, phrases, and clauses are organized to establish connections between individual terms within a given context.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It&#8217;s a vital function of natural language processing (NLP) systems and a fundamental element of various machine learning tools in use today, including search engines, chatbots, and text analysis software.<\/span><\/p>\n<p><b style=\"font-style: inherit;\">22. What is supervised learning and unsupervised learning?<\/b><\/p>\n<p><b>Supervised Learning:<\/b><span style=\"font-weight: 400;\"> This is one of the simpler forms of machine learning, where the machine is trained using labeled data. Labeled data consists of samples tagged with one or more information labels. The machine is presented with these labeled examples one by one until it learns to recognize the data independently. It&#8217;s akin to a teacher showing a child a deck of cards, one card at a time, and letting the child learn from the cards themselves.<\/span><\/p>\n<p><b>Unsupervised Learning:<\/b><span style=\"font-weight: 400;\"> Interestingly, unsupervised learning is the reverse of supervised learning. It&#8217;s designed for data without labels or information tags. In this approach, the algorithm is provided with a substantial amount of data and tasked with uncovering the inherent properties and patterns within it. The machine then organizes the data into clusters, classes, or groups to make sense of it. This ability to take a large volume of unstructured data and derive meaning from it is what makes this learning model truly remarkable.<\/span><\/p>\n<blockquote><p>Read More :\u00a0<a href=\"https:\/\/www.whizlabs.com\/blog\/azure-ai-900-exam-preparation\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">AI-900 Exam: NEW Preparation Guide\u00a0<\/span><\/a><\/p><\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"Artificial_Intelligence_Scenario-Based_Question_Answers\"><\/span><strong>Artificial Intelligence Scenario-Based Question &amp; Answers<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h3><span class=\"ez-toc-section\" id=\"23_Imagine_youre_acquainted_with_a_farmer_who_shares_that_despite_putting_in_significant_effort_on_the_farm_his_crop_yields_continue_to_decline_How_could_artificial_intelligence_come_to_help_in_this_situation\"><\/span><b style=\"font-size: 16px; font-style: inherit;\">23. Imagine you&#8217;re acquainted with a farmer who shares that, despite putting in significant effort on the farm, his crop yields continue to decline. How could artificial intelligence come to help in this situation?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI can assist farmers in several ways:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Precision Farming:<\/strong> AI analyzes data on temperature, soil, water, and weather to provide insights on planting timing, crop selection, and optimal seed choices. It can also detect plant diseases, and pests, and suggest targeted pesticide use, reducing costs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Harvesting Automation:<\/strong> AI-powered robots can locate and harvest ripe crops, improving efficiency.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Sowing Timing:<\/strong> AI predicts the best time to sow seeds based on soil health, weather forecasts, and fertilizer recommendations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Yield Prediction and Price Forecast:<\/strong> AI uses real-time data to estimate crop yields and forecast market prices, helping farmers make informed decisions for higher profit<\/span><\/li>\n<\/ol>\n<p><b>24. While shopping on Amazon, you&#8217;ve likely encountered the phrase &#8220;Customers who bought this also bought this&#8221;. Have you ever wondered about the mechanism behind how this feature operates?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The way Amazon accomplishes this is through a concept known as &#8220;<strong>collaborative filtering.<\/strong>&#8221; It&#8217;s like Amazon&#8217;s digital matchmaking, where it compares the shopping habits of users who share similar interests. By doing so, it can suggest products to a user based on what others with similar tastes have enjoyed.<\/span><\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-91710 aligncenter\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/top-ai-books.webp\" alt=\"top-ai-books\" width=\"598\" height=\"518\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/top-ai-books.webp 598w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/top-ai-books-300x260.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/top-ai-books-150x130.webp 150w\" sizes=\"(max-width: 598px) 100vw, 598px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Picture it as a prediction engine that anticipates what might pique a user&#8217;s curiosity. All it has at its disposal is data \u2013 lots of it. This data includes what users have been browsing, what they&#8217;ve recently ordered, items on their wishlists, and more.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For instance, when Amazon sees that a good number of people buying a phone also purchase tempered glass screen protectors. So, the next time a user buys a smartphone, the system gives them a friendly nudge to consider adding a tempered glass protector to their cart as well.<\/span><\/p>\n<p><b>25. What constitutes a chatbot, and in what ways can they contribute to providing top-tier customer support?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Customer service chatbots, utilizing artificial intelligence (AI), machine learning, and natural language comprehension (NLU), replicate human conversation. The corporate world is progressively embracing chatbots, integrating them into their service frameworks to address customer inquiries and streamline repetitive chores.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although customer service chatbots have their constraints, they offer significant advantages by automating assignments, furnishing swift responses to customer concerns, and enriching the overall customer journey.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0Through <strong>chatbot implementation<\/strong>, enterprises can liberate their human agents to handle more intricate issues, thereby nurturing improved customer relationships and realizing corporate objectives. It&#8217;s crucial to bear in mind that chatbots aren&#8217;t meant to supplant human agents but to serve as a tool that enhances the support team&#8217;s capabilities.<\/span><\/p>\n<p><strong>26. How many layers are in a Neural Network?<\/strong><\/p>\n<p><span style=\"font-weight: 300;\">The number of layers in a neural network can vary widely depending on the architecture and purpose of the network. Here are the typical types of layers and their general configurations:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Input Layer: This is the first layer of the network and takes the input data. There is always one input layer.<\/span><\/li>\n<li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Hidden Layers: These are the intermediate layers between the input and output layers. A neural network can have zero or more hidden layers. Simple networks, such as perceptrons, have no hidden layers, while deep neural networks can have dozens or even hundreds of hidden layers.<\/span><\/li>\n<li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Output Layer: This is the final layer of the network that produces the output. There is always one output layer.<\/span><\/li>\n<\/ol>\n<p><strong>27. What is Tensorflow?<\/strong><\/p>\n<p><span style=\"font-weight: 300;\">TensorFlow is an open-source machine learning framework developed by the Google Brain team. It is widely used for developing and deploying machine learning models, particularly deep learning models. TensorFlow provides a comprehensive ecosystem for building end-to-end machine learning pipelines, including tools for data preprocessing, model building, training, and deployment.<\/span><\/p>\n<p><strong>28. Explain about LSTM<\/strong><\/p>\n<p><span style=\"font-weight: 300;\">An LSTM, or Long Short-Term Memory, is a type of recurrent neural network (RNN) architecture designed to model sequences and time series data. It addresses the limitations of traditional RNNs, particularly the issue of vanishing and exploding gradients, which makes it difficult for RNNs to learn long-term dependencies.<\/span><\/p>\n<p><strong>29. What do you mean by data cube?<\/strong><\/p>\n<p><span style=\"font-weight: 300;\">A data cube is a multi-dimensional array of values, typically used to describe data in a data warehouse or online analytical processing (OLAP) system. It allows data to be modeled and viewed in multiple dimensions, which are often referred to as &#8220;axes&#8221; or &#8220;dimensions.&#8221; Each dimension corresponds to a different perspective or attribute of the data, such as time, geography, or product categories.<\/span><\/p>\n<p><strong>30. What are Generative Adversarial Networks (GANs)?<\/strong><\/p>\n<p><span style=\"font-weight: 300;\">Generative Adversarial Networks (GANs) are a class of machine learning models that are used for generating new data instances that resemble a training set. GANs consist of two neural networks, namely the generator and the discriminator, which are trained simultaneously through a competitive process.<\/span><\/p>\n<ol>\n<li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Generator: The generator network takes random noise as input and generates synthetic data samples. Its objective is to produce data that is indistinguishable from real data samples drawn from the training set.<\/span><\/li>\n<li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Discriminator: The discriminator network is trained to distinguish between real data samples from the training set and synthetic data samples generated by the generator. Its objective is to correctly classify real and fake data instances.<\/span><\/li>\n<\/ol>\n<h3><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Hope the above <\/span><b><i>Questions on Artificial Intelligence with answers<\/i><\/b><span style=\"font-weight: 400;\"> will assist you in excelling during your AI interview.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Preparing for AI interviews involves not only mastering technical knowledge but also sharpening problem-solving skills, critical thinking, and the ability to communicate complex ideas effectively.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To hone such skills, take our <strong><a href=\"https:\/\/www.whizlabs.com\/labs\/\" target=\"_blank\" rel=\"noopener\">hands-on labs<\/a> and <a href=\"https:\/\/www.whizlabs.com\/labs\/sandbox\" target=\"_blank\" rel=\"noopener\">sandboxes<\/a><\/strong>. You can also take various artificial intelligence courses available online.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence (AI) has rapidly evolved into a transformative field, leaving its footprint in almost every industry.\u00a0 In today&#8217;s landscape, nearly every company seeks AI Engineers and professionals to integrate Artificial Intelligence: AI-900 into their systems, aiming to enhance the customer experience and offer additional functionalities. When it comes to AI job interviews, both interviewers and candidates must be well-prepared. So, we have compiled Artificial Intelligence interview questions and answers to help both parties navigate the AI landscape effectively, ensuring a successful and insightful exchange during the interview process. Let\u2019s explore now! Top 30 Artificial Intelligence (AI) Interview Questions &amp; [&hellip;]<\/p>\n","protected":false},"author":386,"featured_media":91700,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","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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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[5018],"tags":[],"class_list":["post-91696","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interview-questions"],"uagb_featured_image_src":{"full":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",1280,720,false],"thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-150x150.webp",150,150,true],"medium":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-300x169.webp",300,169,true],"medium_large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-768x432.webp",768,432,true],"large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-1024x576.webp",1024,576,true],"1536x1536":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",1280,720,false],"2048x2048":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",1280,720,false],"profile_24":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",24,14,false],"profile_48":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",48,27,false],"profile_96":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",96,54,false],"profile_150":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",150,84,false],"profile_300":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI.webp",300,169,false],"tptn_thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-250x250.webp",250,250,true],"web-stories-poster-portrait":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-640x720.webp",640,720,true],"web-stories-publisher-logo":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-96x96.webp",96,96,true],"web-stories-thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2023\/10\/Top-Artificial-Intelligence-AI-Interview-Questions-Answers-FI-150x84.webp",150,84,true]},"uagb_author_info":{"display_name":"Basant Singh","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/basant-singh\/"},"uagb_comment_info":25,"uagb_excerpt":"Artificial Intelligence (AI) has rapidly evolved into a transformative field, leaving its footprint in almost every industry.\u00a0 In today&#8217;s landscape, nearly every company seeks AI Engineers and professionals to integrate Artificial Intelligence: AI-900 into their systems, aiming to enhance the customer experience and offer additional functionalities. When it comes to AI job interviews, both interviewers&hellip;","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/91696","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\/386"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=91696"}],"version-history":[{"count":8,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/91696\/revisions"}],"predecessor-version":[{"id":96799,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/91696\/revisions\/96799"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media\/91700"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=91696"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=91696"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=91696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}