Welcome to your interview.
The question is on your right: Handle Imbalanced Classification. 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 working on a supervised classification problem where one class is much rarer than the other. The model will be used in production, so false negatives and false positives both matter.
How would you handle class imbalance in a classification problem?