Welcome to your interview.
The question is on your right: L1 vs L2 Regularization. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You are comparing regularized linear models for a supervised learning task and want to explain what changes when you use an L1 penalty versus an L2 penalty.
Explain the difference between L1 and L2 regularization from both a geometric and a Bayesian perspective.