Welcome to your interview.
The question is on your right: Feature Selection for ML Models. 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 working on a supervised learning model and the feature set is large, mixed quality, and partly redundant. Some variables may be noisy, correlated, or only useful in combination with others.
How would you approach feature selection in a machine learning model?