Microsoft Machine Learning Operations Engineer Associate AI-300 exam format: domains, weightings and length
Microsoft Machine Learning Operations Engineer Associate AI-300 is examined across 5 domains. The weightings below decide how much of the exam each domain is worth — and therefore where preparation time pays off.
Domains and weightings
| Domain | Exam weight | Our questions |
|---|---|---|
| Implement machine learning model lifecycle and operations | 27.5% | 252 |
| Design and implement a GenAIOps infrastructure | 22.5% | 208 |
| Design and implement an MLOps infrastructure | 17.5% | 165 |
| Implement generative AI quality assurance and observability | 12.5% | 122 |
| Optimize generative AI systems and model performance | 12.5% | 122 |
The weightings add up to 92.5%, not 100% — the vendor publishes ranges and these are the midpoints. We show them as published rather than rounding them up.
Length and number of questions
Question formats in our Microsoft Machine Learning Operations Engineer Associate AI-300 bank
These are the formats among the 869 Microsoft Machine Learning Operations Engineer Associate AI-300 questions we publish. They describe our bank, not the vendor's blueprint.
- single choice: 695 questions
- multi choice: 174 questions
Know which domain is costing you marks
The weightings tell you what the exam rewards. A readiness check tells you where you stand in each one.
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Domain weightings as published by the exam vendor · Question counts are from the Certsqill Microsoft Machine Learning Operations Engineer Associate AI-300 bank (869 questions).