Welcome to your interview.
The question is on your right: Regularization to Reduce Overfitting. 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 training a supervised learning model and notice that training performance is much better than validation performance. You want the model to generalize better to unseen data.
How would you regularize a model to reduce overfitting?