These are Prompt Engineering questions of the kind Microsoft actually asks — the patterns reported from Microsoft's AI-engineering rounds, where design trade-offs, scale and failure modes matter as much as definitions. Treat this page as a mock interview: say every answer out loud before revealing it. If one surprises you, the lesson behind it is linked at the bottom.
Microsoft Prompt Engineering concept questions
A customer's LLM feature gives wrong answers. How do you decide whether the fix is prompting, RAG, or fine-tuning?
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Microsoft Prompt Engineering applied & hands-on questions
Design the prompting for an assistant that reviews pull requests. Cover what goes in the context, the prompt itself, and how you would keep it from being annoying.
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Your ticket-classification prompt works well in English. Support now covers Hindi and Tamil, and accuracy drops sharply. What do you change?
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How to use this page: Microsoft rarely asks something you've never seen — they ask a standard Prompt Engineering concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the Prompt Engineering course lessons, and the follow-up stops being scary.
Keep practising: Anatomy of a Prompt, Zero-shot & Few-shot, Chain-of-Thought and Prompt Injection & Safety cover what most Microsoft Prompt Engineering rounds test.