What kind of preparation do you expect, when you say ML specific questions or broad knowledge of ML fundamentals, is it doing linear algebra on the fly or just

What kind of preparation do you expect, when you say ML specific questions or broad knowledge of ML fundamentals, is it doing linear algebra on the fly or just knowing high level topics like bias-variance, regularization, neural nets, k-means clustering?