These are Fine-Tuning 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 Fine-Tuning concept questions
How would you evaluate whether a fine-tuned model is ready to ship?
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Microsoft Fine-Tuning applied & hands-on questions
You are building a product where each enterprise customer gets a model tuned on their own documents and style. Design it: training, serving, isolation, and lifecycle.
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For each, say what you would change and why: (1) a code assistant that writes correct code in the wrong internal style, (2) a chatbot citing a pricing page from two years ago, (3) a summariser that returns 8 bullets when asked for 5, (4) a classifier at 71% where the confusion is between two specific categories.
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How to use this page: Microsoft rarely asks something you've never seen — they ask a standard Fine-Tuning concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the Fine-Tuning course lessons, and the follow-up stops being scary.
Keep practising: When to Fine-Tune, LoRA & PEFT, Evaluating LLMs and LLMOps & Monitoring cover what most Microsoft Fine-Tuning rounds test.