Your question is Handle Highly Imbalanced Classes. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
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?