Your question is Supervised vs Unsupervised Learning. 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 model choices for a machine learning problem and need to explain when labeled outcomes are required versus when patterns can be learned directly from the input data.
What are the key differences between supervised and unsupervised learning?