Free AI-900 practice test — 1,020+ Azure AI Fundamentals practice questions with detailed explanations across all 5 official AI-900 exam domains. Every AI-900 exam questions set is scored, timed, and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.
Courseiva includes 1,020+ Microsoft Azure AI Fundamentals AI-900 practice questions across the official exam domains.
Feature
Courseiva
This free AI-900 practice test mirrors the structure and difficulty of the real Microsoft Azure AI Fundamentals AI-900 exam. Every question is written against the official 2026 exam blueprint published by Microsoft, ensuring you practise exactly what the exam tests — not last year's objectives.
The AI-900 blueprint is divided into 5weighted domains. Questions on this page are distributed proportionally across each domain, so the mix you see here reflects the same weighting you'll face on exam day. High-weight domains like Describe Artificial Intelligence workloads and considerations and Describe fundamental principles of machine learning on Azure contribute the most questions, meaning focused practice on these areas gives you the highest return on study time.
AI-900 Exam Blueprint — 5 Domains
Describe Artificial Intelligence workloads and considerations
Describe fundamental principles of machine learning on Azure
Describe features of computer vision workloads on Azure
Describe features of Natural Language Processing workloads on Azure
Describe features of generative AI workloads on Azure
66 numbered sets, 5 domain question banks, and targeted sessions — every page is a unique set of questions.
Each chapter page covers one topic in depth — theory, key concepts, and focused practice questions. Use these to close knowledge gaps before returning to full practice tests.
Getting the most from practice questions requires more than just clicking through answers. Here is the study method used by candidates who pass AI-900 on their first attempt:
Answer before revealing
Read each AI-900 question fully, eliminate obviously wrong choices, then commit to an answer before clicking to reveal. This active recall process is what builds lasting knowledge.
Read every explanation
Even when you answer correctly, read the full explanation. Knowing WHY the right answer is correct — and why the distractors are wrong — is what separates a 750 score from a 900 score.
Track weak domains
Note which AI-900 domains you get wrong most often. Then do a targeted 20-30 question session focused only on that domain until your accuracy improves.
Simulate exam pacing
The real AI-900 gives you roughly 1.2 minutes per question. Use the 60 or 120-question sessions to practise hitting that pace comfortably.
Most candidates who pass AI-900 on their first attempt report doing between 400 and 800 practice questions over 4–8 weeks of preparation. With 1,020+ questions in the Courseiva bank, you have more than enough material to build that repetition without seeing the same question twice.
Answer each question to reveal the full explanation and correct answer. This starter set is drawn from all 5 exam domains in blueprint proportion. Use the session selector to start a longer focused practice run.
A bank is developing an AI system to automatically approve personal loans. To ensure the system does not discriminate against any group of applicants, which Microsoft responsible AI principle should the bank primarily focus on?
Select an answer to reveal the explanation
A data scientist wants to train a machine learning model to predict the exact market price of a house based on features such as square footage, number of bedrooms, and location. Which type of machine learning task should be used?
Select an answer to reveal the explanation
A transportation company wants to automatically identify whether an image contains a car, a truck, or a motorcycle. The system should output a single label for the entire image. Which computer vision capability in Azure should they use?
Select an answer to reveal the explanation
A healthcare organization needs to extract specific data elements (such as patient names, medication dosages, and dates) from unstructured doctors' notes. Which Azure Cognitive Service is best suited for this task?
Select an answer to reveal the explanation
A marketing team wants to use Azure AI to automatically generate unique product descriptions for thousands of items in an e-commerce catalog based on a few keywords provided by the inventory team. Which Azure service should they use?
Select an answer to reveal the explanation
Answer all 5 questions to see your domain score breakdown
A structured study plan dramatically increases your chances of passing AI-900 on the first attempt. The most effective approach combines reading the official Microsoft documentation or a study guide, watching video explanations for difficult concepts, and then reinforcing everything with daily practice questions.
We recommend the following weekly structure for AI-900 preparation:
Cover each AI-900 domain systematically. Read the exam objectives, watch explanatory content, and do 10–20 practice questions per domain to test understanding as you go.
Run full 50–60 question mixed sessions daily. Review every wrong answer in detail. Identify which domains are consistently scoring below 70% and revisit those study materials.
Do 100–120 question timed sessions to simulate real exam conditions. Aim for consistent scores above 80% before booking your exam date. A score above 80% in practice typically translates to a passing AI-900 score.
On exam day, the AI-900 tests your ability to apply knowledge to realistic scenarios — not just recall definitions. This is why reading explanations and understanding the reasoning behind every answer matters more than simply grinding question volume. Use the high-count sessions (100, 120) in the final weeks as your confidence benchmark.
Questions
50
On the real exam
Time limit
60 min
1.2 min per question
Passing score
700/1000
Scaled scoring
The AI-900 exam uses a scaled scoring system — your raw score of correct answers is converted to a score out of 1000. A passing score of 700/1000 does not mean you need 70% of questions correct; the conversion accounts for question difficulty. Consistently scoring above 75–80% on practice tests puts you in a strong position to achieve 700/1000 on the real exam.
Conceptual questions on AI fundamentals, machine learning, computer vision, natural language processing, and Azure AI services.
Yes. Courseiva provides free Microsoft Azure AI Fundamentals AI-900 practice questions with explanations across the official exam domains. Start with a quick practice test, then continue with topic-based practice, mock exams, missed-question review, bookmarked questions, weak-topic recommendations, and readiness tracking. No account required. Create a free account to unlock per-domain analytics and progress tracking across every certification on the platform. Courseiva is free forever, supported by advertising.
Every question is written against the official AI-900 exam blueprint published by Microsoft. Our questions follow the same wording style, scenario complexity, and answer structure as the actual exam. They are original questions — not brain dumps — so you learn the underlying concepts and reasoning, not just memorised answers. Candidates who study with brain dumps often pass but have no transferable knowledge; Courseiva questions make you genuinely competent.
Most candidates who pass AI-900 on their first attempt do 30–60 questions per day. Use the Quick 10 session for daily warm-ups when you are short on time. On study days, run a 50 or 60-question session to build stamina. Reserve 100 and 120-question sessions for the final two weeks when you want to simulate real exam conditions and benchmark your readiness.
The AI-900 covers 5 domains: Describe Artificial Intelligence workloads and considerations, Describe fundamental principles of machine learning on Azure, Describe features of computer vision workloads on Azure, Describe features of Natural Language Processing workloads on Azure, Describe features of generative AI workloads on Azure. Each domain carries a different weight, so allocate your study time accordingly. The highest-weighted domains — Describe Artificial Intelligence workloads and considerations and Describe fundamental principles of machine learning on Azure — should receive the most attention.
Exam dumps are memorised question-and-answer lists taken from actual exam papers, often obtained illegally and shared without Microsoft's authorisation. Using them violates your NDA and Microsoft's certification agreement, and can result in certification revocation. Courseiva questions are 100% original — written by certified engineers to test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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