AI-900 Practice Test & Mock Exam

Last revised: June 29, 2026

Practice Microsoft Azure AI Fundamentals (AI-900) in IT Mastery with focused sample pages, topic drills, timed mock exams, detailed explanations, and the current question bank.

Use IT Mastery for interactive practice with timed mocks, topic drills, progress tracking, and detailed explanations across web and mobile. Focused topic pages and the static diagnostic page preview how this exam handles AI workload recognition, service selection, machine learning basics, computer vision, natural language processing, and generative AI.

Practice preview and focused pages

Use this page to start the web app and choose the right public preview before longer mixed practice. For sample exam questions, use the focused topic pages, quick review, and free-practice page in this exam section; the interactive app remains the primary practice path.

  • Focused topic pages: drill focused topics including AI Workloads; Computer Vision; and other domains with explanations.
  • Quick review: High-yield concepts, Azure AI services, traps, and practice focus areas.
  • Free practice exam: Try 50 free Microsoft Azure AI Fundamentals (AI-900) questions across the exam domains, with explanations, then continue with IT Mastery practice.

What this practice page gives you

  • a direct web entry for AI-900 practice in IT Mastery
  • focused topic pages and free-practice coverage across AI workloads, machine learning, computer vision, NLP, and generative AI
  • focused practice around Azure AI service selection and fundamentals instead of generic AI trivia
  • a clear web preview path for previewing question style before deeper practice
  • the same IT Mastery account across web and mobile

AI-900 exam snapshot

  • Issuer: Microsoft
  • Platform: Microsoft Azure
  • Official exam name: Microsoft Azure AI Fundamentals (AI-900)
  • Exam code: AI-900
  • Items: 50 total
  • Exam time: 45 minutes
  • Practice support: focused topic pages, free-practice coverage, and interactive IT Mastery drills

Fundamentals-level Microsoft Azure AI practice across common AI workloads, ML basics, Azure AI services, and generative AI. This exam retires on June 30, 2026.

AI-900 and AI-901 transition note

Microsoft Learn says the AI-900 exam for Microsoft Certified: Azure AI Fundamentals retires on June 30, 2026 and is replaced by AI-901. Use this live AI-900 practice page if you are taking AI-900 before retirement. If your target is the replacement exam, open the AI-901 practice page for live IT Mastery AI-901 practice, topic drills, and the static diagnostic page.

Topic coverage for AI-900 practice

DomainWeight
Describe Artificial Intelligence workloads and considerations19%
Describe fundamental principles of machine learning on Azure19%
Describe features of computer vision workloads on Azure19%
Describe features of Natural Language Processing (NLP) workloads on Azure19%
Describe features of generative AI workloads on Azure24%

AI-900 workload decision filters

Use these filters when two Azure AI services appear close:

  • Input modality: identify whether the data is text, speech, image, video, document, tabular data, or prompt-based user input.
  • Workload category: separate machine learning, computer vision, NLP, speech, document intelligence, search, and generative AI.
  • Build vs prebuilt: choose prebuilt Azure AI services for common cognitive tasks and Azure Machine Learning when the scenario requires custom model training.
  • Responsible AI signal: watch for fairness, reliability, privacy, inclusiveness, transparency, accountability, and human review.
  • Generative AI boundary: distinguish prompting, grounding, retrieval, content generation, hallucination risk, and safety controls from traditional prediction tasks.

AI-900 readiness map

AreaWhat strong readiness looks like
AI workloadsYou can identify common AI workload types from inputs, outputs, and business goals.
Machine learningYou can explain training, evaluation, features, labels, regression, classification, clustering, and model basics at a fundamentals level.
Computer visionYou can match image analysis, OCR, object detection, and facial-analysis concepts to Azure service families.
NLP and speechYou can separate language understanding, sentiment, key phrase extraction, translation, and speech-to-text scenarios.
Generative AIYou can reason about prompts, grounding, responsible AI, hallucinations, and Azure AI service selection.

How to use the AI-900 simulator efficiently

  1. Start with workload recognition and service-selection questions so you can quickly tell document intelligence, vision, NLP, and generative AI scenarios apart.
  2. Review every miss until you can explain why the best Azure AI service fits the data, the user need, and the operating constraint.
  3. Move into mixed sets once you can switch comfortably between machine learning basics, Responsible AI, and Azure AI service choices.
  4. Finish with timed runs so the 45-minute pace feels normal before test day.

Final 7-day AI-900 practice sequence

DayPractice focus
7Open the web app for a timed mixed set, then use the public diagnostic page if you need to group misses by workload category.
6Drill machine-learning fundamentals, model types, training concepts, and evaluation basics.
5Drill vision, document, speech, NLP, and translation service-selection scenarios.
4Drill generative AI, prompting, grounding, hallucination risk, and responsible AI controls.
3Complete a timed mixed set and explain the input, output, and service fit for every miss.
2Review confusing service pairs and AI workload vocabulary.
1Keep review light, especially if you are taking AI-900 before its retirement date.

When AI-900 practice is enough

If several unseen mixed attempts are above roughly 75% and you can explain the workload type, service fit, and responsible-AI concern behind your misses, you are probably ready to take the exam. More practice should reinforce service selection, not become answer memorization.

Free study resources

Use this IT Mastery page for live practice, topic drills, timed mocks, explanations, and app access.

Web preview and premium practice

  • Web/public preview: a smaller web set so you can validate the question style and explanation depth.
  • Premium: interactive web-app practice with focused drills, mixed sets, timed mock exams, detailed explanations, and progress tracking across web and mobile.

Good next pages after AI-900

  • AZ-900 if you also need broader Azure platform and governance fundamentals
  • AI-901 if your target is the replacement Azure AI Fundamentals route
  • Microsoft Azure certification pages if you are still choosing between AI, fundamentals, administrator, developer, and architect tracks

AI-900 Azure AI fundamentals map

Use this map to connect individual items to the Azure AI service-selection and responsible-AI decisions this practice page tests.

    flowchart LR
	  S1["Business AI scenario"] --> S2
	  S2["Identify AI workload type"] --> S3
	  S3["Choose Azure AI service family"] --> S4
	  S4["Apply responsible AI and privacy basics"] --> S5
	  S5["Review limitations and monitoring"] --> S6
	  S6["Pick next Microsoft AI route"]

Mini Glossary

  • Computer vision: AI capability for analyzing images or video.
  • Generative AI: AI that creates text, images, summaries, or other outputs.
  • Natural language processing: AI capability for analyzing or generating human language.
  • Responsible AI: Principles and controls for safer AI design and use.
  • Azure AI Search: Microsoft search service often used for retrieval and grounding.

In this section

AI-300
AI-901
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