Design a sampling strategy for production traces so you catch rare but severe failures.

Instruction: Explain how you would sample production data for review without drowning the team.

Context: Assesses whether the candidate can design a practical architecture and explain the main tradeoffs. Explain how you would sample production data for review without drowning the team.

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I would not sample purely at random because rare severe failures are exactly what random volume sampling tends to miss. I would combine baseline random sampling with targeted oversampling for high-risk conditions such as policy-sensitive workflows, unusual tool errors, low-confidence states, customer complaints, and new feature paths.

I...

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