Welcome to your interview.
The question is on your right: Feature Engineering for ML Models. 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.
You are given a supervised learning problem where the raw inputs are not enough for the model to learn the pattern well. The question is how you would turn those inputs into better features, and why that changes model quality.
Describe the process of feature engineering and its importance in machine learning.