Welcome to your interview.
The question is on your right: Handle Highly Imbalanced Classes. 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 given a classification dataset where the positive class is rare and matters most. The goal is to train a model that does not ignore the minority class.
How would you handle a dataset with highly imbalanced classes?