Your question is Boosting vs Bagging. 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).
Explain the difference between boosting and bagging.
Focus on how each method trains base learners, what problem it is trying to solve, and how it affects bias, variance, and overfitting. A strong answer should also mention a common algorithm for each approach and a practical use case.