Prepare for Microsoft Azure AI Fundamentals (AI-901) with a stable, blueprint-mapped IT Mastery bank, a free 50-question diagnostic, Microsoft Foundry, responsible AI, generative AI, model deployment, prompts, and Azure AI service-selection drills.
AI-901 is the replacement exam route for Microsoft Certified: Azure AI Fundamentals after AI-900 retires. It keeps fundamentals-level AI workload coverage while adding more explicit Azure implementation awareness, Microsoft Foundry exposure, and Python familiarity.
Start with the free AI-901 diagnostic or the public sample questions. See how the questions handle AI workload recognition, responsible AI, Microsoft Foundry, generative AI, prompts, model deployment, and Azure AI service selection before you subscribe; IT Mastery then gives you a stable, blueprint-mapped practice bank with timed mocks, topic drills, progress tracking, and detailed explanations across web and mobile.
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Initial release note: This is an initial release. We expand high-demand banks first based on learner usage, feedback, and subscriber demand. Subscribers receive access to future additions automatically.
Free diagnostic: Try the 50-question AI-901 full-length practice exam before subscribing. Use it as one Azure AI Fundamentals baseline, then return to IT Mastery for timed mocks, topic drills, explanations, and the full AI-901 question bank.
| Area | Practical focus |
|---|---|
| AI workloads and considerations | Recognize common AI solution types and responsible AI constraints. |
| Machine learning principles on Azure | Understand basic ML concepts, data, training, evaluation, and service fit. |
| Computer vision, NLP, and generative AI | Match workloads to Azure AI service families and Foundry capabilities. |
| AI concepts and responsibilities | Understand what candidates must know before deeper AI engineering routes. |
| Foundry implementation awareness | Recognize how Azure AI solutions are implemented and governed at a fundamentals level. |
| If you need to practice… | Best page | Why |
|---|---|---|
| current Azure AI Fundamentals before retirement | AI-900 | Use AI-900 if that is the exact exam code you scheduled before the retirement date. |
| replacement Azure AI Fundamentals | AI-901 | Use this page if your target is the newer fundamentals route. |
| broader Azure fundamentals | AZ-900 | Reinforces Azure services, identity, governance, and cloud language. |
| next-step AI apps and agents | AI-103 | Move here when you are ready for implementation depth in Azure AI apps and agents. |
Use these child pages when you want focused IT Mastery practice before returning to mixed sets and timed mocks.
Need concept review first? Read the AI-901 Cheat Sheet for compact concept review before returning to timed practice.
Try these 12 original sample questions for Microsoft AI-901. They are designed for self-assessment and are not official exam questions.
Topic: AI workload recognition
A retailer wants to recommend products based on previous browsing and purchase patterns. Which AI workload is the closest fit?
Best answer: A
Explanation: Recommendation systems use patterns in user and item data to suggest likely relevant options. This is a common fundamentals-level AI workload.
What this tests: Identifying common AI workload types.
Topic: responsible AI
A facial recognition prototype performs worse for one demographic group. What should the team do?
Best answer: B
Explanation: Responsible AI requires inspecting fairness and representativeness. Average performance can hide unacceptable subgroup outcomes.
What this tests: Applying responsible AI principles.
Topic: generative AI basics
A user asks an AI assistant to summarize a support article in simpler language. What kind of capability is being used?
Best answer: C
Explanation: Summarization in natural language is a generative AI capability. The model produces text based on the input and instructions.
What this tests: Recognizing generative AI tasks.
Topic: computer vision
A factory wants to detect whether a package label is damaged in an image. Which service category should the learner expect to review?
Best answer: D
Explanation: The input is an image and the task is visual detection. Computer vision is the relevant AI service category.
What this tests: Matching image inputs to vision workloads.
Topic: machine learning model lifecycle
Which statement best describes supervised learning?
Best answer: A
Explanation: Supervised learning uses labeled data to learn a mapping from inputs to known outcomes. It is a foundations concept for AI-901-style preparation.
What this tests: Understanding basic machine learning terminology.
Topic: Azure AI resource fit
A company wants to translate support responses into multiple languages. Which capability is most relevant?
Best answer: B
Explanation: Translation is a language workload. The candidate should map the requirement to Azure language or translator capabilities rather than infrastructure services.
What this tests: Selecting the correct service family for language workloads.
Topic: Foundry awareness
A learner hears that Microsoft Foundry is used in modern AI app development. At a fundamentals level, what should they understand first?
Best answer: C
Explanation: AI-901 candidates should know the broad role of Foundry-style tooling in building and managing AI apps without needing advanced implementation depth.
What this tests: Recognizing the role of Microsoft Foundry.
Topic: data for AI
Why does poor-quality training data create risk for an AI solution?
Best answer: D
Explanation: AI behavior depends heavily on the data used for training, grounding, and evaluation. Poor data quality can harm reliability and fairness.
What this tests: Connecting data quality to AI outcomes.
Topic: AI evaluation
A chatbot gives fluent answers that sometimes contradict the source article. What should be evaluated?
Best answer: A
Explanation: Fluent output is not enough. Groundedness checks whether answers are supported by the intended sources.
What this tests: Evaluating generative AI answer quality.
Topic: prediction vs classification
A model predicts next month’s sales amount from historical sales and seasonality. What type of task is this most likely?
Best answer: B
Explanation: Predicting a numeric amount is a regression-style machine learning task. Fundamentals exams often test these distinctions.
What this tests: Distinguishing common machine learning task types.
Topic: content filtering
A public chatbot must avoid hateful or self-harm content in responses. What control is most relevant?
Best answer: C
Explanation: Content filtering and safety monitoring help reduce harmful outputs. This is a responsible AI control, not a storage or desktop problem.
What this tests: Matching safety requirements to AI controls.
Topic: study path transition
A candidate planned for AI-900 but their exam date is after its retirement window. What should they verify?
Best answer: D
Explanation: AI-901 is positioned as the successor route for Azure AI Fundamentals. Candidates should verify the current exam code before studying.
What this tests: Handling the AI-900 to AI-901 transition.
Use this map to connect the sample questions to the decision pattern Microsoft usually tests for this route.
flowchart LR
S1["Business scenario"] --> S2
S2["Identify AI workload type"] --> S3
S3["Choose Microsoft AI service family"] --> S4
S4["Apply responsible AI principles"] --> S5
S5["Review limits and governance"] --> S6
S6["Select next role-based route"]
| Cue | What to remember |
|---|---|
| Workload types | Separate generative AI, prediction, computer vision, language, speech, and search scenarios. |
| Service selection | Choose the Microsoft AI service family that matches the scenario before thinking about implementation details. |
| Responsible AI | Look for safety, fairness, transparency, accountability, privacy, and human oversight cues. |
| Data handling | Know when sensitive data, retention, consent, or access control matters. |
| Next route | Use AI-901 as a fundamentals lane before AI-103, AI-200, or other builder-focused paths. |
Use this page to review public sample questions, start the free diagnostic, and open the live AI-901 route in IT Mastery for timed mocks, topic drills, explanations, and progress tracking.