Choose best/worst actions under OA pressure

You are 70 minutes into a 90-minute OA. Your Pandas pipeline passes visible samples but fails a hidden test. A teammate on chat offers an unverified 'quick fix'. The instructions warn that wrong assumptions can invalidate the model. You also must complete a mandatory post-OA survey before the deadline. Choose the best and worst actions and justify briefly (stakeholder impact, risk, integrity): A) Freeze the current pipeline, document assumptions and edge cases, run remaining unit tests, and reserve ~8 minutes to finish the survey on time. B) Replace your deduping logic with the teammate’s snippet without understanding it, rerun everything, and skip the survey to spend all remaining time debugging. C) Document the failing test with a minimal reproduction, add guardrails that fail fast on detected anomalies, submit partial functionality transparently, and complete the survey quickly at the end. D) Add more model features to improve visible metrics, ignore leakage warnings, use synthetic data to fill gaps, and delay the survey past the deadline.