12What should we log and trace for an LLM feature in production, and why?▼easyNewDatabricksAtlassianUber◆ premiumWithout traces, every quality complaint is a guess. The interviewer wants the fields that make debugging, evaluation and cost control possible, and an awareness of what should not be stored.Practise this question →Read answer →
12Halfway through a live prototyping round, your prototype throws errors and the AI tool keeps producing broken fixes. What do you do?▼mediumNewReplitCursorMeta◆ premiumThings break in live rounds, and interviewers often learn more from how you recover than from a smooth build. The answer is calm narration, a time box, simplification and a fallback that still shows judgment.Practise this question →Read answer →
32In the build round, the interviewer asks what an AI-written function does and how it breaks. You didn't read it. What now?▼mediumNewCanvaShopify◆ premiumAdmit it, then read it out loud, state its inputs and outputs, name one way it fails and test it live. The panel is checking whether you own what you ship.Practise this question →Read answer →