Azure Mastery

Microsoft Certification AI-901

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AI-901 Study App for iOS — Microsoft AI Fundamentals

Get exam-ready for AI-901 (Microsoft AI Fundamentals) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score across all five AI-901 domains, build a personalised study plan from your weak spots, and surface topics you're forgetting — all without sending a single byte off your device.

The exam

What is the AI-901 exam?

AI-901 is a Microsoft AI Fundamentals credential — an alternative-track fundamentals exam covering the same skills outline as AI-900 but with a different question pool and refreshed (March 2026) update cadence. Like AI-900, it's pitched at both technical and non-technical candidates: data science and software-engineering experience are not required, only basic familiarity with cloud concepts and client-server applications.

AI-901 doesn't ask you to write Python or design a model architecture. It expects a clear conceptual map of AI workload types (computer vision, NLP, document processing, generative AI), the six responsible-AI principles, the difference between regression, classification, and clustering, and which Azure AI service matches a given scenario — Azure AI Vision, Azure AI Language, Azure AI Speech, Azure OpenAI, Microsoft Foundry.

Microsoft updated the AI-901 skills outline in March 2026. Every question in Azure Mastery's AI-901 bank is mapped to the current outline — no leftover questions on retired services. Read the official outline at learn.microsoft.com.

Skills measured · April 2026

AI-901 exam objectives

Five domains, with weights set by Microsoft's March 2026 update. Every domain summary below is paraphrased from the official skills outline; bullet-level objectives in Azure Mastery are tagged so you always know which domain you're being tested on and where your weak spots cluster.

AI workloads and considerations15–20%

The conceptual foundation. Identifies the four common AI workload types (computer vision, natural language processing, document processing, generative AI) with example scenarios for each, and walks through Microsoft's six guiding principles for responsible AI — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. Around 6–12 questions per sitting.

Fundamental principles of machine learning on Azure15–20%

Common ML techniques (regression, classification, clustering, deep learning, the Transformer architecture) and core concepts (features and labels, training and validation datasets). Covers Azure Machine Learning capabilities: automated ML, the data and compute services, and the model management and deployment story. Around 6–12 questions.

Computer vision workloads on Azure15–20%

Distinguishing image classification from object detection from optical character recognition (OCR) from facial detection — and matching each to the right Azure service. Covers the Azure AI Vision service and the Azure AI Face detection service. Around 6–12 questions.

Natural Language Processing (NLP) workloads on Azure15–20%

The NLP scenario taxonomy: key phrase extraction, entity recognition, sentiment analysis, language modelling, speech recognition and synthesis, and translation. Maps each scenario to the right Azure tool — Azure AI Language for text analysis, Azure AI Speech for spoken-input/output. Around 6–12 questions.

Generative AI workloads on Azure20–25%

The largest domain by typical question count. Covers what generative AI models are, common scenarios (chat, code, image generation, summarisation), and responsible-AI considerations specific to GenAI. Service coverage includes Microsoft Foundry, Azure OpenAI Service, and the Microsoft Foundry model catalog. Around 8–15 questions.

Designed for AI-901

How Azure Mastery helps you pass AI-901

Azure Mastery ships with 319 AI-901 practice questions, every one written specifically against the current (March 2026) skills outline — not generic AI trivia. Each question carries a domain tag mapped to the official five domains (AI workloads, ML on Azure, computer vision, NLP, generative AI), so you always know which area you're being tested on and where your weak spots are clustered. Scenario-style multiple choice with the same wording Microsoft uses on the live exam.

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. "708 ±60, 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 more for AI-901 than for foundational exams — five domains is a lot to retain, and the topic you mastered three weeks into your study window is the topic you'll forget by exam day if you stop revising. 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 319-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.

Everything runs on-device. Your answer history, your readiness gauge, your decay alerts — none of it leaves your iPhone or iPad. No account required to start, no tracking, no sync server. Privacy-first by design.

6-week study plan

Suggested AI-901 study plan

Most candidates pass AI-901 after four to eight weeks of focused study, depending on prior Azure experience. The six-week plan below maps onto the five AI-901 domains, Azure Mastery's adaptive sessions, and the in-app exam simulator. Adjust pace to taste — the readiness gauge tells you when you're done, not the calendar.

  1. AI concepts and ML principles

    • Days 1–3: AI workloads and considerations — workload identification (computer vision, NLP, document processing, generative AI) and the six responsible-AI principles.
    • Days 4–6: Fundamental principles of machine learning on Azure — regression, classification, clustering, Transformer basics, Azure Machine Learning capabilities (AutoML, model management).
  2. Computer vision and NLP

    • Days 7–8: Computer vision workloads — image classification vs object detection vs OCR vs facial detection; Azure AI Vision and Face.
    • Days 9–10: NLP workloads — Azure AI Language (entity recognition, sentiment, summarisation, CLU), Azure AI Speech (STT, TTS).
  3. Generative AI and exam sharpening

    • Days 11–12: Generative AI workloads — generative-AI model scenarios, Microsoft Foundry, Azure OpenAI Service, GenAI-specific responsible-AI considerations.
    • Days 13–14: Run Focus Weak Spots sessions, then two full-length 45-minute Exam Simulator runs. Schedule the exam when readiness gauge is 750+ with reasonable confidence.

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.

Multiple choice

One correct answer from four to six options. The most common type on every Azure exam — practical recall of services, settings, and limits.

~50% of questions

Multi-select

Pick two or more correct answers from a list. Microsoft tells you exactly how many to choose. Partial credit not awarded — you need every selection right.

All-or-nothing

Drag-and-drop

Arrange items into the correct sequence — deployment steps, the order operations occur in a pipeline, troubleshooting flows. Long-press to drag on touch.

Order matters

Hotspot

Tap the correct area of an image — the right setting in a portal screenshot, the right resource in a topology diagram. Practical visual recall under time pressure.

Tap target

Case studies

A multi-paragraph scenario followed by 4–6 linked questions. Common on AI-901 in the storage and identity domains; dominant on AZ-305 and AZ-400.

Multi-question

Why Wrong AI

An Azure Mastery exclusive. When you answer incorrectly, an on-device Apple Foundation Model writes a targeted explanation grounded in the correct rationale. Never leaves your device.

App exclusive

Frequently asked

AI-901 FAQs

How much does the AI-901 exam cost?

The AI-901 voucher is USD $165 in the United States. Pricing varies by region — in the UK it's typically around £128. Microsoft sometimes runs free-voucher promotions during events such as Microsoft Build or Microsoft Ignite, so check your Microsoft Learn profile for any active offers before booking. AI-901 also requires annual renewal (free, online), so factor that into long-term cost planning.

Does the AI-901 certification expire?

Yes. Microsoft Associate certifications including AI-901 expire annually. Renewal is free — a 25–30 question online assessment on Microsoft Learn within the six-month window before your expiration date. The renewal targets recent skills outline updates, so staying current is straightforward if you remain broadly active in the role. (Fundamentals certifications such as AZ-900 are different — those don't 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?

Most candidates pass AI-901 after four to eight weeks of focused study, assuming some prior IT or cloud experience. If Azure is genuinely new to you, plan for two to three months — the exam expects you to know specific PowerShell and Azure CLI commands, not just describe concepts. Azure Mastery's readiness gauge tells you when you're at exam-ready; don't book until it shows roughly 720 or higher with reasonable confidence.

AI-901 vs AI-900 — different exams?

Same skills outline, different question pools and refresh dates. AI-900 (May 2025 update) and AI-901 (March 2026 update) both cover the Azure AI Fundamentals domains: AI workloads and responsible AI, ML principles, computer vision, NLP, and generative AI. AI-901 is positioned as a refresh / alternative-track variant. Either qualifies as the AI Fundamentals credential; if you've already passed AI-900, you don't need AI-901 unless you want a more recent exam date on your CV.

AI-901 vs AI-102 — which next?

AI-901 first if you don't already build AI applications professionally. AI-901 teaches the AI vocabulary — workload types, the responsible-AI principles, the Azure AI service catalogue — without expecting code. AI-102 is the role-based AI Engineer Associate exam: it expects hands-on Python or REST API calls against Azure AI services. Most candidates pass AI-901 in a few weeks then spend two to three months on AI-102.

Where AI-901 fits

Certification paths that include AI-901

AI-901 is the alternative-track AI Fundamentals exam, equivalent to AI-900 in skills coverage but with refreshed (March 2026) questions. It's the foundational entry point for Microsoft's AI / ML / Data tracks. Tap any linked exam below to see its dedicated study app page.

Ready to pass AI-901?

Download Azure Mastery free. 319 AI-901 practice questions across all five domains, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.

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