These are Prompt Engineering questions of the kind Google actually asks — the patterns reported from Google'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.
Google Prompt Engineering concept questions
How would you evaluate whether one prompt is better than another?
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Google Prompt Engineering applied & hands-on questions
A summarisation feature that worked well for months starts producing worse summaries. Nothing was deployed. Walk through your diagnosis.
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Design a prompt that generates three distinct product-name suggestions for a startup, and explain how you would evaluate something this subjective.
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How to use this page: Google 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 Google Prompt Engineering rounds test.

