Your question is Regression Loss Function Trade-offs. 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).
Explain the trade-offs between different loss functions for regression tasks.
Focus on how the loss choice changes robustness to outliers, sensitivity to large errors, optimization behavior, and the kind of prediction objective it supports. Keep the answer practical, and discuss when each loss is a better fit than the others.