1
Studying topics instead of scenarios
The AI-900 exam doesn't ask "what is X?" — it asks "given this situation, what should you do?" Candidates who memorise definitions fail; candidates who practise scenario questions pass.
Common mistakes
Most AI-900 failures are predictable and avoidable. This page breaks down the exact patterns — by exam domain — so you can study differently and pass first time.
The AI-900 exam doesn't ask "what is X?" — it asks "given this situation, what should you do?" Candidates who memorise definitions fail; candidates who practise scenario questions pass.
Many AI-900 questions have a "most likely," "best," or "EXCEPT" qualifier that completely changes the correct answer. Skimming the stem under time pressure causes avoidable failures.
Even a 10% domain contributes real questions. Candidates who skip "minor" domains regularly lose enough marks to fail. Every domain needs a baseline pass rate of ~75%.
Practising individual questions is not the same as sitting a timed, full-length exam. Stamina, time management, and mental switching between domains all need practice.
Many candidates who fail reschedule and study the same way. A different outcome requires identifying which domains failed and structuring a targeted review — not just more general reading.
These are the highest-weight domains — they account for the most questions on your exam.
Describe Artificial Intelligence workloads and considerations
% of exam · 199 practice questions
Describe fundamental principles of machine learning on Azure
% of exam · 207 practice questions
Describe features of computer vision workloads on Azure
% of exam · 208 practice questions
Practise every domain until you consistently score ≥ 80%. Courseiva has 1,020 AI-900 practice questions with detailed explanations.