AI-901 Practice Questions & Exam Prep — Microsoft Azure AI Fundamentals
Get exam-ready for AI-901 (Microsoft Azure AI Fundamentals) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness across both current assessed areas, build a personalised study plan from your weak spots, and surface topics you're forgetting. Core study stays on-device and works offline; optional sync uses your private iCloud account.
The exam
What is the AI-901 exam?
AI-901 is the current exam for the Microsoft Certified: Azure AI Fundamentals credential. It replaced AI-900, which retired on 30 June 2026. AI-901 is intended for people starting to work with AI solutions on Azure, including aspiring junior developers who are beginning to add AI capabilities to applications.
The current exam combines conceptual knowledge with foundational technical skills. You should understand core cloud concepts, Azure resources, common AI capabilities, responsible AI, and how client applications consume models and services. You also need to understand Python syntax and code examples that call AI models and services, and be able to use Microsoft Foundry to deploy models and implement single-agent solutions.
The English AI-901 exam was updated on 15 April 2026. Azure Mastery's question bank covers the current outline, with five granular study tags rolled up to Microsoft's two assessed areas. Read the official Microsoft exam page.
Microsoft also provides a free official AI-901 Practice Assessment through AI Skills Navigator. Use it to sample Microsoft's assessment style, then use Azure Mastery for repeatable weak-spot drills, offline study, readiness prediction, and full-length simulation.
Questions40–60 multiple choice
Duration45 minutes (65 min seat)
Pass score700 / 1000
CostVaries by country / region
ValidityDoesn't expire (Fundamentals)
FormatOnline or test centre
Skills measured · 15 April 2026
AI-901 exam objectives
Microsoft groups the current exam into two assessed areas. The summaries below are paraphrased from the official exam page; Azure Mastery's finer topic tags help you pinpoint weak spots inside each area.
AI & agent skill mapDataModelsAgentsResponsible AI
Identify AI concepts and responsibilities40–45%
Explore key topics
Understand common AI capabilities and workloads, machine-learning concepts, generative AI and agents, prompts and grounding, and the responsibilities involved in building safe, reliable, transparent, and accountable AI solutions.
Implement AI solutions by using Microsoft Foundry55–60%
Explore key topics
Use Foundry to explore and deploy models, understand projects, endpoints and authentication, build prompts, implement single-agent solutions, and recognise how language, vision, and generative AI capabilities are integrated into client applications. Be ready to interpret foundational Python examples.
Designed for AI-901
How Azure Mastery helps you pass AI-901
Azure Mastery ships with 604 AI-901 practice questions covering the current April 2026 outline. Five detailed study tags — AI concepts, machine learning, vision, language, and generative AI — roll up into Microsoft's two assessed areas, giving you more precise weakness data without misrepresenting the official weighting.
The on-device Exam IQ engine predicts your AI-901 score before you sit the exam. After roughly 30 questions it has enough signal to give a confidence-scored prediction (e.g. "786 ±37, 68% confidence") — and tells you the specific topics that are dragging your readiness down. No vague "study more" advice; just a ranked list of objectives where improvement would move your score the furthest.
The adaptive study plan rebuilds itself from your answer history. Get a scenario question wrong? The engine surfaces another question in the same domain in your next session. Master a topic across three sessions and it backs off, prioritising the next-highest-leverage gap. The plan optimises for the gap between where you are and the 700 pass score, not for blind volume.
Knowledge decay tracking matters because the two assessed areas span a wide range of concepts and practical Foundry skills. Azure Mastery tracks every topic's decay curve and flags topics approaching expiry. The padlock icon on the Today screen is your "revisit before you forget" cue, and weak-spot drills automatically pull from decayed topics first.
Real exam simulation mode runs at AI-901's actual length and time pressure: a randomised 40–60-question set drawn from the full 604-question bank, weighted by domain percentages from the April 2026 outline, with the 45-minute timer running and no jumping back to flag-and-review. It's the closest you can get to the live Pearson VUE / online-proctored experience without sitting the exam.
Answer Coach turns each missed answer into a private, grounded lesson: the misconception, key distinction, and rule to remember. It always uses authored certification guidance; on supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
During your first week, Aura adapts the next step as you go. Every session ends with a concise recap of what changed, what to focus on, and the best follow-up.
Everything essential runs on-device. Your answer history, readiness gauge, and coaching stay private. Optional sync uses your private iCloud account; there is no Azure Mastery account, tracking, or external processing server.
6-week study plan
Suggested AI-901 study plan
The six-week plan below maps onto the two current AI-901 assessed areas, Python examples, Azure Mastery's adaptive sessions, and the in-app exam simulator. Adjust the pace to your background — the readiness gauge tells you when you're done, not the calendar.
AI concepts and responsibilities
Week 1: Common AI capabilities and workloads, machine-learning concepts, generative AI, agents, prompts, and grounding.
Week 2: Responsible AI plus the cloud, resource, endpoint, authentication, and client-application concepts behind Azure AI solutions.
Implement with Microsoft Foundry
Week 3: Foundry projects, model catalog, deployment, endpoints, authentication, and prompt development.
Week 4: Single-agent solutions and selecting language, vision, document, and generative AI capabilities for application scenarios.
Python examples and exam sharpening
Week 5: Read Python syntax and short examples that call AI models and services; connect each call to its Azure resource and endpoint.
Week 6: Run Focus Weak Spots sessions, then two full-length 45-minute Exam Simulator runs before scheduling the exam.
Inside the app
Every Microsoft question type, on iPhone
AI-901's question bank uses the same formats Microsoft puts on the live exam — not just multiple choice. Each visualisation below is a faithful mock of how the type renders inside Azure Mastery on iPhone and iPad. Exam-simulator mode runs all of them at full 45-minute length with no flag-and-review jumps, mirroring Pearson VUE.
How many principles are included in Microsoft's Responsible AI framework?
4
5
6
8
Multiple choice
A real AI-901 question-bank example with one correct answer. The app explains every option after you answer.
Exam-specific sample
Which models are available through Azure OpenAI Service? (Select all that apply)
GPT-4o
DALL-E
Whisper
Azure SQL
Text-embedding-ada-002
Multi-select
A real AI-901 multi-select item. Every required selection must be correct to earn the mark.
All-or-nothing
Order the steps to use a generative AI model in Microsoft Foundry.
⋮⋮1Choose a model from the catalog for your task
⋮⋮2Deploy the chosen model
⋮⋮3Test the model in the playground
⋮⋮4Integrate the model into your application
Drag-and-drop
A real AI-901 interactive-format prompt, rendered for touch on iPhone and iPad.
Interactive item
You are reviewing a diagram showing the relationship between AI concepts. Select the concept that is the most specific subset in the hierarchy.
Hotspot
A real AI-901 prompt that tests recognition inside a visual or contextual interface.
Tap target
Azure AI Service Selection Azure AI Language provides a suite of NLP capabilities suited to this pipeline. Language Detection identifies the written language and returns a locale code. Named…
1Which service feature should return the source locale and ISO language code for…
2Which service feature should pull structured fields such as customer name, order…
3Which service feature should score the customer's tone as positive, negative, or…
4Which service feature should learn department labels from example tickets and…
Case studies
A real AI-901 case-study scenario with linked questions that share the same requirements and environment.
Multi-question
✕Your answer: 4
✨ Answer Coach:Four understates the count. Microsoft's framework defines six principles, so four omits two of them.
— grounded in authored certification guidance
Answer Coach
Answer Coach uses the bank's authored rationale to explain the misconception, key distinction, and rule to remember. On supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
App exclusive
Frequently asked
AI-901 FAQs
How much does the AI-901 exam cost?
Microsoft prices AI-901 according to the country or region where the exam is proctored. Check the official scheduling page for the current local price before booking.
Does the AI-901 certification expire?
No. AI-901 earns the Microsoft Certified: Azure AI Fundamentals credential, and Microsoft Fundamentals certifications do not expire.
What is the AI-901 retake policy if I fail?
The first retake is allowed after 24 hours. Second and third retakes each require a 14-day wait. Microsoft caps retakes at five attempts per 12-month rolling period. Each attempt requires a new voucher purchase.
How long should I study for AI-901?
Allow several weeks for concepts plus hands-on practice. The current outline expects core cloud knowledge, familiarity with Azure resources, and an understanding of Python syntax and examples that call AI models and services. Azure Mastery's readiness gauge helps you decide when to schedule the exam.
AI-901 vs AI-900 — different exams?
AI-901 replaced AI-900 on 1 July 2026. AI-900 retired on 30 June 2026 and can no longer be scheduled. AI-901 remains the route to the Azure AI Fundamentals credential and adds a more implementation-oriented focus on Microsoft Foundry and Python examples.
What should I take after AI-901?
Choose the role-based exam that matches how you build agents. AI-103 covers code-first AI apps and agents with Python and Microsoft Foundry. AB-620 covers integrated agents built with Copilot Studio, Power Platform, and Microsoft 365. Both build on the foundations assessed by AI-901.
Where AI-901 fits
Certification paths that include AI-901
AI-901 replaced the retired AI-900 exam and is now the route to Azure AI Fundamentals. From here, choose a current role-based path based on whether you build code-first agents in Microsoft Foundry or integrated agents in Copilot Studio.
AI-901 is the current Azure AI Fundamentals exam. The current role-based next steps are AI-103 for code-first Azure AI apps and agents, or AB-620 for integrated agents in Copilot Studio.
Ready to pass AI-901?
Download Azure Mastery free. 604 AI-901 practice questions across both assessed areas, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.