Microsoft reports a passing score of 700 or greater for AI-103. Use that as exam context, but review practice results by skill area. A score alone does not tell you whether the weak spot is planning, generative AI, agents, computer vision, text analysis, or information extraction.
AI-103 questions often require you to choose the next design step. A scenario may mention grounding data, an agent action, extraction accuracy, model monitoring, or security constraints. The fastest way to improve is to identify the workload first, then choose the answer that matches the requested outcome.
How to practise the format
During a AI-103 Practice Test, read the scenario once for the business goal and once for the technical constraint. If retrieval, safety, or monitoring is mentioned, do not treat it as decoration. It usually points to the tested skill.
After the session, compare missed questions with the AI-103 exam objectives. Rebuild the weakest domain before starting another full run.
Verified against the official vendor reference: learn.microsoft.com.