Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate Questions and Answers
200 questions organized by topic with detailed explanations
Microsoft
AI-300
200 questions
5 topics
Updated May 2026Design and implement an MLOps infrastructure
41 questions12 easy19 medium10 hard~19% of exam
A security architect wants jobs to access storage securely without embedding account keys or SAS tokens in code. Which a...A new team member says a datastore and a data asset are the same thing. Which correction is most accurate?A practitioner needs a personal development environment for notebooks and experimentation in Azure Machine Learning rath...
Implement machine learning model lifecycle and operations
57 questions14 easy29 medium14 hard~30% of exam
A team wants Azure Machine Learning to explore candidate models automatically for a supervised learning problem. Which c...A data scientist wants to record parameters, metrics, and artifacts for training runs by using the experiment tracking c...A model in production is still returning predictions, but the input population has changed significantly from the traini...
Design and implement a GenAIOps infrastructure
48 questions12 easy23 medium13 hard~24% of exam
A business expects consistently high request volume for a production generative AI application and wants reserved capaci...A solution team is choosing among foundation models for summarization, extraction, and agent use cases. Which decision p...A prompt team has two candidate phrasings for the same task and wants to compare which one performs better before standa...
Implement generative AI quality assurance and observability
30 questions7 easy15 medium8 hard~14% of exam
A team wants automated evaluation runs that use built-in metrics but also include one company-specific scoring rule. Whi...A safety reviewer needs to check whether an application produces harmful or unsafe content in response to prompts. Which...A generative AI team wants to measure whether answers are actually supported by the retrieved source material rather tha...
Optimize generative AI systems and model performance
24 questions5 easy12 medium7 hard~13% of exam
A team has released a fine-tuned model and now needs disciplined operational control as it moves from experimentation in...A RAG system returns too much irrelevant context. Which tuning area should the engineer review first?A team lacks enough domain examples for a fine-tuning pilot and needs more training material. Which technique is explici...
All Questions
| # | Question | Topic | Difficulty |
|---|---|---|---|
| 1 | A team wants Azure Machine Learning to explore candidate models automatically for a supervised learn... | Implement machine learning model lifecycle and operations | easy |
| 2 | A data scientist wants to record parameters, metrics, and artifacts for training runs by using the e... | Implement machine learning model lifecycle and operations | easy |
| 3 | A team wants automated evaluation runs that use built-in metrics but also include one company-specif... | Implement generative AI quality assurance and observability | medium |
| 4 | A security architect wants jobs to access storage securely without embedding account keys or SAS tok... | Design and implement an MLOps infrastructure | medium |
| 5 | A business expects consistently high request volume for a production generative AI application and w... | Design and implement a GenAIOps infrastructure | medium |
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