Your question is XGBoost vs Random Forest. 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).
What is Xgboost? How it is different from Random Forest?
Asked in the Technical round stage. Part of a block of XGBoost questions.
Answer this as a practical ML design discussion. Explain how each algorithm learns, compare their accuracy, interpretability, training and inference costs, robustness, and tuning requirements. State when you would choose one over the other, and how you would validate and deploy the selected model.