Your question is Loss Functions and Outlier Sensitivity. 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).
You're comparing several supervised learning models and want to reason clearly about how the training objective changes between classification and regression.
Explain the loss functions used in classification versus regression and how outliers affect their optimization.