AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.
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An external auditor asks how your team flagged the sample of transactions under review. How do you explain that an AI anomaly-detection tool selected part of the sample, in a way that holds up to audit scrutiny?
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