Your question is Handling Missing Values and Outliers. 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).
Can you explain how you would handle missing values or outliers in a large dataset before performing your analysis?
Describe a reproducible workflow that distinguishes data-quality issues from legitimate extreme observations. Explain how your choices would depend on the missingness mechanism, variable type, analysis objective, and dataset size. Include validation checks and discuss how your treatment choices could affect bias and statistical conclusions.