Microsoft ML engineer interview, got asked a pretty standard regularization question. Nothing too wild but it's the kind of thing that trips you up if you haven't thought about it carefully in a while.
“I knew the basics, L1 pushes weights to zero so you get sparsity, L2 penalizes large weights but keeps them small rather than zeroing them out.” The rest of the author's notes on Machine Learning Engineer interview at Microsoft, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.