Welcome to your interview.
The question is on your right: Handling Imbalanced Classification Data. 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 binary classifier where the positive class is much rarer than the negative class. A model with high accuracy may still miss most of the cases you care about.
How would you handle imbalanced datasets?