Full exam simulation
45 questions · 45 minutes, 0 unscored and not identified. One question per screen, flag and strike-out, a review screen and a score report per domain — no answers until you finish.
MicrosoftAI-901FoundationalAIAvailable
Microsoft Azure AI Fundamentals
Responsible AI, models and AI workloads, and building generative AI, agent, speech, vision and extraction apps with Microsoft Foundry.
Independent practice — not affiliated with or endorsed by Microsoft. AI-901 is used only to identify the exam. Trademark notices
AI-901 replaced AI-900, which retired on June 30, 2026; AI-901 has no announced retirement date.
Domain weights
Share of scored content per domain. Every sitting draws questions by these weights.
- D1Identify AI concepts and capabilities42 %20 concepts
- D2Implement AI solutions by using Microsoft Foundry58 %27 concepts
Your progress
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ESL +30
The full sitting with 30 extra minutes (75 min) — the accommodation non-native English speakers can request for exams in English.
Quick 20
20 questions · 20 min, same weights, all scored. A daily check.
Weak spots
20 questions aimed at your weakest domains, missed concepts and due reviews.
Practice builder
Pick domains, topics, how many questions and which pool (new, wrong, due, low confidence). Spaced repetition with confidence ratings, flashcards and a mistake book.
Open practiceDomain drill
One domain, up to 20 questions.
What's on the exam
Domain 1: Identify AI concepts and capabilities
42 %Responsible AI principles, how generative models work, choosing models and deployment parameters, and AI workloads: text analysis, speech, computer vision, image generation and information extraction. Official range 40–45 %.
Practice domain 1 →Domain 2: Implement AI solutions by using Microsoft Foundry
58 %Prompts, model deployment and chat clients with the Foundry SDK, single-agent solutions, text and speech apps, multimodal vision and image generation, and Azure Content Understanding for documents, images, audio and video. Official range 55–60 %.
Practice domain 2 →
Domain names and weights come from the official AI-901 exam objectives (checked 2026-10-26). Always check it for the authoritative scope.
The real exam also has drag-and-drop and hot-area questions; the simulator uses multiple-choice only.
Sources · checked 2026-10-26
- Microsoft Learn — AI-901 study guide (skills measured as of April 15, 2026; 40–45 / 55–60 %; pass 700) ↗
- Microsoft Learn — Exam AI-901 page (retirement date: none) ↗
- Microsoft Learn — retired exams (AI-900 retired June 30, 2026) ↗
- Microsoft Learn — exam duration and experience (Fundamentals 45 min; associate 100–120 min; most exams 40–60 questions) ↗
Sample questions
Two of this exam's original questions, with the explanation you get after every answer.
Sample 1Select one
A bank's loan-approval model approves applicants from one postal area far less often than equally qualified applicants elsewhere. Which responsible AI principle is MOST at risk?
- ATransparency
- BReliability and safety
- CFairness
- DInclusiveness
Show answer & explanation
Correct: C. Fairness means AI systems should treat all people equitably and not allocate opportunities differently to similar groups. Unequal approval rates for equally qualified applicants indicate a fairness problem.
Sample 2Select 2
Which practices support the accountability principle? (Select TWO.)
- ADeleting audit logs regularly
- BHiding the use of AI from regulators
- CEstablishing governance policies and roles for AI development
- DLetting the model act without any review
- EDefining human oversight and approval for high-impact decisions
Show answer & explanation
Correct: C, E. Accountability is supported by governance frameworks, clear ownership and human oversight, especially where decisions significantly affect people.