Your question is Random Forest vs Gradient Boosting. 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're choosing between two tree-based ensemble models for a supervised learning task and want a principled way to compare them.
Explain the difference between Random Forest and Gradient Boosting, and tell me when you would choose one over the other.