This question evaluates judgment and leadership competencies in data science — including risk assessment, stakeholder impact analysis, integrity under time pressure, and handling failing tests and collaborator input — and falls under the Behavioral & Leadership category.
You are a data scientist candidate 70 minutes into a 90-minute online assessment (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 must also complete a mandatory post-OA survey before the deadline.
Choose the best and worst actions among the options below, and briefly justify your choices in terms of stakeholder impact, risk, and integrity.
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