Your question is Balancing Complexity and Simplicity. 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).
How do you balance the need for model complexity against the requirement for operational simplicity?
Discuss this as a practical model-selection task. Explain how you would compare a simple baseline with a more complex candidate, validate whether added complexity produces meaningful business value, and decide what to deploy.
Your response should address validation design, interpretability, inference cost, monitoring, retraining, failure modes, and how you would document the decision. Include Python code that compares at least two models using consistent preprocessing and evaluation.