Top 30 XGBoost Interview Questions and Answers (Part 2 of 2)
Last Updated on January 20, 2026 by Editorial Team
Author(s): Shahidullah Kawsar
Originally published on Towards AI.
Machine Learning Interview Preparation Part 09 Solution
XGBoost is a machine learning method used to make accurate predictions. It works by building many small decision trees one after another, where each new tree focuses on correcting the mistakes made by the previous ones. These trees are then combined to produce a final prediction that is usually much better than any single tree. XGBoost is fast, handles large datasets well, and includes features that reduce overfitting, which helps the model perform better on new, unseen data.
The article provides a comprehensive quiz featuring 30 multiple-choice questions related to XGBoost, focusing on key concepts, techniques, and applications in machine learning. Each question is paired with its correct answer and an explanation to enhance understanding, preparing readers for potential interview scenarios in the field of machine learning.
Read the full blog for free on Medium.
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