Welcome to your interview.
The question is on your right: Imbalanced Rare Symbol Learning. 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.
How do you handle highly imbalanced datasets where the target feature, such as a rare architectural symbol, appears in less than 1% of your training data for Plangrid?