Your question is Feature Engineering for Predictive Models. 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're working on a supervised learning problem and need to decide which input features to create, transform, or exclude before training a model.
How would you discuss feature engineering choices for a predictive model?