Your question is Assessing Model Overfitting. 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've trained a model that looks strong on the data used during development, but the team is worried the performance may not hold up on unseen data. You need to explain how you would tell whether the model is overfitting.
How would you assess whether a model is overfitting?