Your question is Explain Model Predictions. 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 have a trained model in production, and people want to know why it makes certain predictions. The goal is to explain individual outputs in a way that is useful for review, debugging, and trust.
How do you explain why a model is making certain predictions?