Your question is Handling Imbalanced Anomaly Detection. 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).
Given an imbalanced dataset for anomaly detection, how would you handle the class imbalance in Python?