Your question is Owning Ambiguous Data Quality Issues. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about a time you inherited or discovered an ambiguous data issue in a pipeline or dataset—something like inconsistent null handling, schema drift, or a performance regression—and you had to drive clarity and a fix before it impacted downstream users. What did you do, and what was the outcome?