Your question is PCA vs Feature Engineering and Undersampling. 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).
When is it appropriate to use PCA for dimensionality reduction compared to simple manual feature engineering or undersampling?