Your question is Handling Missing Data. 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).
How would you deal with missingness in data, and what imputation strategies would you consider?
Explain how you would diagnose the missingness mechanism, decide whether missing values are informative, and select an approach appropriate to the variable types and analytical objective. Address validation, uncertainty, and how you would communicate assumptions. No dataset or numeric thresholds are provided, so state the additional information you would request before implementation.