Azure AI-900
Exam AI-900: Microsoft Azure AI Fundamentals
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Cheat sheet
Keep the key ideas within reach.
ExploreKey terms
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Give each week a clear focus.
ExploreCommon mistakes
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ExploreCase studies
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ExploreAbout this exam
Exam AI-900: Microsoft Azure AI Fundamentals is Microsoft's entry-level AI credential exam, aimed at candidates at the beginning of a career in AI solution development. Microsoft describes the audience as people with conceptual knowledge of AI solutions in Azure plus foundational technical skills, Python coding familiarity, and comfort with Azure resources; data science and software engineering experience are not required, though basic cloud and client-server awareness helps. The exam measures five skill areas: AI workloads and considerations (15–20%), fundamental machine learning principles on Azure (15–20%), computer vision features (15–20%), natural language processing features (15–20%), and generative AI features (20–25%). Passing score is 700. Preparation is normally self-paced learning paths or instructor-led training, plus the free practice assessment available through AI Skills Navigator. Important: the certification page now lists AI-901 as the required exam, and a warning on the AI-900 page states that AI-900 was retired on June 30, 2026 and replaced by AI-901 - while the same page separately displays "Retirement date: none." Confirm which exam you are booking before you pay. This site is independent and not affiliated with Microsoft.
What you'll study
About Azure AI-900 preparation
Is AI-900 still available, or has it been replaced?
The sources conflict. The AI-900 exam page carries a warning that "The AI-900 exam was retired on June 30, 2026, and has been replaced by AI-901," yet the same page's exam-details panel still shows "Retirement date: none." The certification page lists AI-901 as the required exam. Check Microsoft Learn directly before scheduling.
What score do I need to pass, and how is the exam scored?
Microsoft lists a passing score of 700 on the AI-900 exam page. Microsoft's score scale is not a simple percentage of questions answered correctly, so treat 700 as the scaled threshold rather than a raw target. The source does not publish the scale details; check Microsoft's exam scores page.
How many questions are on the exam and how long do I get?
Neither figure is published in the source material reviewed here, so we cannot state a question count or time limit. Do not rely on numbers from older third-party study guides. Confirm current logistics on the exam page or in your scheduling appointment details before exam day.
What prior experience do I need before taking AI-900?
Microsoft states data science and software engineering experience are not required, but that you benefit from awareness of basic cloud concepts and client-server applications. The certification page adds that candidates should have conceptual knowledge of AI solutions in Azure, Python coding syntax and programming techniques, familiarity with Azure resources, and exposure to REST APIs, SDKs and CLIs.
Should I study the domains in the listed order?
A sensible approach is to start with AI workloads and considerations, since the vocabulary recurs throughout, then machine learning fundamentals, then the three modality domains. Generative AI carries the largest single weight at 20–25%, and the four others are 15–20% each, so no domain can safely be skipped.
Where can I find free practice questions?
Microsoft links a free practice assessment on the AI-900 exam page and notes the Practice Assessment is available on AI Skills Navigator, which requires you to be signed in to launch it. Use it to identify weak domains rather than to memorise items, since exam content is revised periodically.
What is the most recent version of the exam content?
The AI-900 exam page states the English language version of the exam was updated on May 2, 2025, with localized versions typically following about eight weeks later. The certification page separately notes the English certification was updated on April 15, 2026, and points to the study guide linked on the Exam AI-901 page for changes.
Does passing AI-900 give me credit toward other Azure certifications?
Microsoft says you can use Azure AI Fundamentals to prepare for role-based certifications such as Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them. The page also notes possible ACE college credit eligibility for passing the certification exam.
How should I plan my last week of study?
Weight your time: generative AI is 20–25% and the other four domains 15–20% each. Re-read the skill bullets on the exam page, since Microsoft says those bullets illustrate how each skill is assessed and that related topics may appear. Take the practice assessment, then revisit your weakest two domains.
What happens if I fail - how many retakes are allowed?
The source material does not state a retake policy, retake wait period, or fee, so we cannot give a figure. Microsoft's exam policies and FAQs page, linked from the AI-900 exam resources section, is the authoritative place to check retake rules and any waiting period before rebooking.