Welcome to your interview.
The question is on your right: Tune Model Hyperparameters. 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 choosing hyperparameters for a supervised learning model before deployment. The goal is to improve generalization on unseen data, not just fit the training set.
How do you tune hyperparameters for a machine learning model?