Your question is Choosing Interpretable vs Black-Box 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 are comparing two candidate models for a supervised learning task, one simple and interpretable, the other more complex and more accurate. The team needs a clear decision that balances performance, explainability, and how the model will be used in production.
Walk me through a time you had to choose between a simpler, interpretable model and a complex, highly accurate black-box model.