Welcome to your interview.
The question is on your right: Model Complexity vs Generalization. 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're comparing several supervised learning models with different levels of complexity and want to choose one that will perform well on unseen data.
How would you explain the trade-offs between model complexity and generalization?