AI-900 Practice Test & Mock Exam
Practice Microsoft Azure AI Fundamentals (AI-900) in IT Mastery as earlier-syllabus reference; use AI-901 for current Azure AI Fundamentals preparation.
Use IT Mastery for interactive practice with timed mocks, topic drills, progress tracking, and detailed explanations across web and mobile. The free-practice page previews how this exam handles AI workload recognition, service selection, machine learning basics, computer vision, natural language processing, and generative AI.
Practice preview
Use this page to start the web app before longer mixed practice. For a public question-style check, use the quick review and the free-practice page in this exam section; the interactive app remains the primary practice path.
- cheat sheet : 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
- full-length 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: the free-practice page, 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 retired on June 30, 2026.
AI-900 and AI-901 transition note
AI-900 retired on June 30, 2026. This page preserves earlier-syllabus practice for reference. For current Microsoft Certified: Azure AI Fundamentals preparation, use the AI-901 practice page and its refreshed free exam. AI-901 covers AI concepts and lightweight Microsoft Foundry implementation; the older AI-900 five-domain outline does not describe its current scope.
Topic coverage for AI-900 practice
| Domain | Weight |
|---|---|
| Describe Artificial Intelligence workloads and considerations | 19% |
| Describe fundamental principles of machine learning on Azure | 19% |
| Describe features of computer vision workloads on Azure | 19% |
| Describe features of Natural Language Processing (NLP) workloads on Azure | 19% |
| Describe features of generative AI workloads on Azure | 24% |
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
| Area | What strong readiness looks like |
|---|---|
| AI workloads | You can identify common AI workload types from inputs, outputs, and business goals. |
| Machine learning | You can explain training, evaluation, features, labels, regression, classification, clustering, and model basics at a fundamentals level. |
| Computer vision | You can match image analysis, OCR, object detection, and facial-analysis concepts to Azure service families. |
| NLP and speech | You can separate language understanding, sentiment, key phrase extraction, translation, and speech-to-text scenarios. |
| Generative AI | You can reason about prompts, grounding, responsible AI, hallucinations, and Azure AI service selection. |
How to use the AI-900 simulator efficiently
- Start with workload recognition and service-selection questions so you can quickly tell document intelligence, vision, NLP, and generative AI scenarios apart.
- Review every miss until you can explain why the best Azure AI service fits the data, the user need, and the operating constraint.
- Move into mixed sets once you can switch comfortably between machine learning basics, Responsible AI, and Azure AI service choices.
- Finish with timed runs so the 45-minute pace feels normal before test day.
Final 7-day AI-900 practice sequence
| Day | Practice focus |
|---|---|
| 7 | Open the web app for a timed mixed set, then use the public diagnostic page if you need to group misses by workload category. |
| 6 | Drill machine-learning fundamentals, model types, training concepts, and evaluation basics. |
| 5 | Drill vision, document, speech, NLP, and translation service-selection scenarios. |
| 4 | Drill generative AI, prompting, grounding, hallucination risk, and responsible AI controls. |
| 3 | Complete a timed mixed set and explain the input, output, and service fit for every miss. |
| 2 | Review confusing service pairs and AI workload vocabulary. |
| 1 | For current certification preparation, switch to the AI-901 study plan and practice page. |
When AI-900 practice is enough
Use varied mixed attempts to identify weak topics, correct guesses and answers you recognize. A practice percentage is not a validated prediction of passing; compare your work with the current official outline and use the study and review guidance to plan the next step. 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-900 — Microsoft Azure AI Fundamentals Cheat SheetCheat sheet: AI-900 reference for Microsoft Azure AI Fundamentals: AI workloads, Azure AI services, machine learning, vision, language, and generative AI.
- AI-900 — Microsoft Azure AI Fundamentals Study PlanA practical AI-900 study plan for Microsoft Azure AI Fundamentals candidates, with 7-day, 14-day, 30-day, and longer preparation paths.
- AI-900 — Microsoft Azure AI Fundamentals Exam BlueprintPractical AI-900 exam blueprint for Microsoft Azure AI Fundamentals candidates reviewing Azure AI concepts, services, workloads, responsible AI, and scenario readiness.
- AI-900 — Microsoft Azure AI Fundamentals Scenario Practice GuideLearn how to read AI-900 scenarios, identify the decision point, and choose defensible Azure AI answers.
- Free AI-900 Practice Exam: Microsoft Azure AI FundamentalsTry 50 free Microsoft Azure AI Fundamentals (AI-900) questions across the exam domains, with explanations, then continue with IT Mastery practice.
- AI-900 — Microsoft Azure AI Fundamentals Official ResourcesFind official Microsoft AI-900 resources to verify objectives, exam version, registration rules, and use them with independent practice.