{"id":17509,"date":"2026-06-03T14:49:28","date_gmt":"2026-06-03T11:49:28","guid":{"rendered":"https:\/\/mada.edu.sa\/?post_type=course&#038;p=17509"},"modified":"2026-06-03T14:49:28","modified_gmt":"2026-06-03T11:49:28","slug":"microsoft-practice-test-ai-900","status":"publish","type":"course","link":"https:\/\/mada.edu.sa\/en\/course\/microsoft-practice-test-ai-900\/","title":{"rendered":"Microsoft Practice Test AI-900: Microsoft Azure AI Fundamentals"},"content":{"rendered":"<p>The AI-900 practice test is meticulously designed to train you in the core concepts of artificial intelligence (AI) and machine learning (ML) within the Microsoft Azure ecosystem. This exam provides a perfect opportunity for both technical and non-technical professionals to demonstrate their foundational knowledge of AI and ML services. It serves as an excellent starting point for those looking to build a rewarding career in the rapidly growing cloud AI sector. Although the AI-900 Azure AI Fundamentals certification is not an official prerequisite for more advanced, role-based certifications like the DP-100 or AI-102, it lays a critical foundation and offers a highly recommended pathway to begin your comprehensive certification journey. Our practice test features both certification and practice modes, empowering you to effectively assess your current knowledge, identify weak areas, and focus deeply on the specific topics that need the most development.<\/p>\n<p style=\"color: #993301;\"><strong>Note: This is merely a practice test to prepare for the professional certification exam, and no certificate is issued by the center for passing it.<\/strong><\/p>\n<p><a style=\"color: #0000ff; font-weight: bold;\" href=\"https:\/\/learn.measureup.com\/tests\/launch-demo?product_id=13170\" target=\"_blank\" rel=\"noopener\">Try a free demo<\/a><\/p>\n<table>\n<tbody>\n<tr>\n<th>Questions<\/th>\n<td>116<\/td>\n<\/tr>\n<tr>\n<th>Release Date<\/th>\n<td>01\/2022 (Last Update: 06\/2025)<\/td>\n<\/tr>\n<tr>\n<th>Job Role<\/th>\n<td>AI Engineer<\/td>\n<\/tr>\n<tr>\n<th>Language<\/th>\n<td>English<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Why should I use the AI-900 Practice Test to prepare for the official exam?<\/h2>\n<p>Utilizing the AI-900 practice test is one of the most effective strategies to ensure your success on the official Microsoft Azure AI Fundamentals certification exam. It immerses you in a highly realistic testing environment that accurately mirrors the actual exam&#8217;s format, difficulty, and question types. By repeatedly engaging with these expertly crafted scenarios, you can rapidly identify your knowledge gaps in machine learning, computer vision, natural language processing, and generative AI. The customizable study modes allow you to target your weak points, ultimately building the unwavering confidence and technical proficiency necessary to achieve a passing score and advance your career.<\/p>\n<p>The AI-900 practice test contains 116 questions and covers the following objectives:<\/p>\n<h3>Describe Artificial Intelligence workloads and considerations &#8211; 25 questions<\/h3>\n<h4>Identify features of common AI workloads<\/h4>\n<ul>\n<li>Identify computer vision workloads<\/li>\n<li>Identify natural language processing workloads<\/li>\n<li>Identify document processing workloads<\/li>\n<li>Identify features of generative AI workloads<\/li>\n<\/ul>\n<h4>Identify guiding principles for responsible AI<\/h4>\n<ul>\n<li>Describe considerations for fairness in an AI solution<\/li>\n<li>Describe considerations for reliability and safety in an AI solution<\/li>\n<li>Describe considerations for privacy and security in an AI solution<\/li>\n<li>Describe considerations for inclusiveness in an AI solution<\/li>\n<li>Describe considerations for transparency in an AI solution<\/li>\n<li>Describe considerations for accountability in an AI solution<\/li>\n<\/ul>\n<h3>Describe fundamental principles of machine learning on Azure &#8211; 28 questions<\/h3>\n<h4>Identify common machine learning types<\/h4>\n<ul>\n<li>Identify regression machine learning scenarios<\/li>\n<li>Identify classification machine learning scenarios<\/li>\n<li>Identify clustering machine learning scenarios<\/li>\n<li>Identify features of deep learning techniques<\/li>\n<li>Identify features of the Transformer architecture<\/li>\n<\/ul>\n<h4>Describe core machine learning concepts<\/h4>\n<ul>\n<li>Identify features and labels in a dataset for machine learning<\/li>\n<li>Describe how training and validation datasets are used in machine learning<\/li>\n<\/ul>\n<h4>Describe Azure Machine Learning capabilities<\/h4>\n<ul>\n<li>Describe capabilities of automated machine learning<\/li>\n<li>Describe data and compute services for data science and machine learning<\/li>\n<li>Describe model management and deployment capabilities in Azure Machine Learning<\/li>\n<\/ul>\n<h3>Describe features of computer vision workloads on Azure &#8211; 20 questions<\/h3>\n<h4>Identify common types of computer vision solutions<\/h4>\n<ul>\n<li>Identify features of image classification solutions<\/li>\n<li>Identify features of object detection solutions<\/li>\n<li>Identify features of optical character recognition solutions<\/li>\n<li>Identify features of facial detection and facial analysis solutions<\/li>\n<\/ul>\n<h4>Identify Azure tools and services for computer vision tasks<\/h4>\n<ul>\n<li>Describe capabilities of the Azure AI Vision service<\/li>\n<li>Describe capabilities of the Azure AI Face detection service<\/li>\n<\/ul>\n<h3>Describe features of Natural Language Processing (NLP) workloads on Azure &#8211; 22 questions<\/h3>\n<h4>Identify features and uses for common NLP workloads<\/h4>\n<ul>\n<li>Identify features and uses for key phrase extraction<\/li>\n<li>Identify features and uses for entity recognition<\/li>\n<li>Identify features and uses for sentiment analysis<\/li>\n<li>Identify features and uses for language modeling<\/li>\n<li>Identify features and uses for speech recognition and synthesis<\/li>\n<li>Identify features and uses for translation<\/li>\n<\/ul>\n<h4>Identify Azure tools and services for NLP workloads<\/h4>\n<ul>\n<li>Describe capabilities of the Azure AI Language service<\/li>\n<li>Describe capabilities of the Azure AI Speech service<\/li>\n<\/ul>\n<h3>Describe features of generative AI workloads on Azure &#8211; 21 questions<\/h3>\n<h4>Identify features of generative AI solutions<\/h4>\n<ul>\n<li>Identify features of generative AI models<\/li>\n<li>Identify common scenarios for generative AI<\/li>\n<li>Identify responsible AI considerations for generative AI<\/li>\n<\/ul>\n<h4>Identify generative AI services and capabilities in Microsoft Azure<\/h4>\n<ul>\n<li>Describe features and capabilities of Azure AI Foundry<\/li>\n<li>Describe features and capabilities of Azure OpenAI service<\/li>\n<li>Describe features and capabilities of Azure AI Foundry model catalog<\/li>\n<\/ul>\n<p><strong>Notes:<\/strong><\/p>\n<ul>\n<li>The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.<\/li>\n<li>Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.<\/li>\n<\/ul>\n<p>Do not leave your certification success to chance. Secure your access to the Microsoft Practice Test AI-900 today to experience top-tier preparation. By practicing with our carefully curated content, you will establish a solid foundation in artificial intelligence and machine learning, ensuring you confidently ace your official exam on the very first try!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI-900 practice test is meticulously designed to train you in the core concepts of artificial intelligence (AI) and machine learning (ML) within the Microsoft Azure ecosystem. This exam provides a perfect opportunity for both technical and non-technical professionals to demonstrate their foundational knowledge of AI and ML services. It serves as an excellent starting &#8230; <a title=\"Microsoft Practice Test AI-900: Microsoft Azure AI Fundamentals\" class=\"read-more\" href=\"https:\/\/mada.edu.sa\/en\/course\/microsoft-practice-test-ai-900\/\" aria-label=\"Read more about Microsoft Practice Test AI-900: Microsoft Azure AI Fundamentals\">\u0625\u0642\u0631\u0623 \u0627\u0644\u0645\u0632\u064a\u062f<\/a><\/p>\n","protected":false},"author":145,"featured_media":17511,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"course_category":[168],"class_list":["post-17509","course","type-course","status-publish","has-post-thumbnail","hentry","course_category-practice-tests","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/17509","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/users\/145"}],"replies":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/comments?post=17509"}],"version-history":[{"count":2,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/17509\/revisions"}],"predecessor-version":[{"id":18584,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/17509\/revisions\/18584"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/media\/17511"}],"wp:attachment":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/media?parent=17509"}],"wp:term":[{"taxonomy":"course_category","embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course_category?post=17509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}