Your question is Choosing Precision vs Recall. 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 discussing how to evaluate a binary classification model with a hiring panel. They want to know whether you understand the tradeoff between catching more true positives and avoiding false alarms.
What is the difference between precision and recall, and when would you optimize one over the other?