Welcome to your interview.
The question is on your right: Random Forest vs Gradient Boosting. 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 choosing between two tree-based ensemble models for a supervised learning task and want a principled way to compare them.
Explain the difference between Random Forest and Gradient Boosting, and tell me when you would choose one over the other.