Welcome to your interview.
The question is on your right: Handling Missing Values in ML. 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 several input features have missing values. You need a practical way to prepare the data without distorting the signal or introducing leakage.
How would you handle a dataset with missing values?