Welcome to your interview.
The question is on your right: Handling Overfitting in Predictive 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're training a supervised learning model and notice that training performance is strong, but validation performance is much weaker. You need to improve generalization without losing too much signal.
How would you handle overfitting in a predictive model?