Your question is L1 vs L2 Regularization. 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 mathematical difference between L1 and L2 regularization. Write the optimization objectives and derive why L1 regularization leads to feature sparsity while L2 regularization leads to weight decay.