Welcome to your interview.
The question is on your right: Bagging vs Boosting Explained. 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 ensemble methods for a supervised learning task and want to explain when each one is appropriate.
Explain the difference between bagging and boosting, and give an example of an algorithm that uses each.