These are GenAI questions of the kind Google actually asks — the patterns reported from Google's GenAI and AI-engineering rounds, where design trade-offs, scale and safety matter as much as definitions. My advice: treat this page as a mock interview. Say every answer out loud before revealing it — GenAI rounds are conversations, not written tests. If an answer surprises you, the lesson behind it is linked at the bottom.
Google GenAI concept questions
Transformers replaced RNNs almost overnight. Identify the TWO fundamental improvements, and explain which one enabled the modern LLM era and why.
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What is LLM-as-judge? Give two failure modes of the judge itself and how teams control for them.
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Million-token context windows exist. Make the engineering case that retrieval remains necessary — and name the one scenario where 'just use the long context' is actually right.
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Google GenAI applied & hands-on questions
Two sentences: (1) "He sat by the bank and watched the river flow." (2) "She queued at the bank to deposit her salary." For the word 'bank' in each, name the context words attention should weight most heavily, and explain what this reveals about how transformers handle words with multiple meanings.
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How to use this page: Google rarely asks a question you've never seen — they ask standard GenAI concepts and then push one level deeper ("why?", "what would you do if..."). Master the concept in the GenAI course lessons, and the follow-up stops being scary.
Keep practising: How LLMs Work, Prompting Basics, RAG and Fine-tuning vs RAG cover what most Google GenAI rounds test.