Your question is Feature Selection in Supervised Learning. 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 training a supervised learning model and have many candidate features, some redundant, some noisy, and some only weakly useful.
What is your approach to feature selection in machine learning?