These are AI agent 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 AI agent concept questions
Make the case against building an agent for a task, and describe the situations where that case fails.
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Why can final-answer accuracy be a misleading metric for agents, and what would you measure instead?
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Explain context poisoning in long agent runs and how you would mitigate it.
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Google AI agent applied & hands-on questions
A trace shows: search_docs("vpn setup") → 4 results → search_docs("vpn configuration") → 4 results → search_docs("how to configure vpn") → 4 results → final answer citing none of them. Diagnose every problem visible here.
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How to use this page: Google rarely asks something you've never seen — they ask a standard AI agent concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the AI agent course lessons, and the follow-up stops being scary.
Keep practising: What Are AI Agents?, Tool Calling, LangGraph and Agent Safety cover what most Google AI agent rounds test.