How do you choose a model?

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Quick Overview

This question evaluates skills in model selection, task and business-objective definition, data-property analysis, production constraint reasoning, baseline and metric design, and understanding of XGBoost's main strengths, weaknesses, and typical use cases.

How do you choose a model?

Company: Microsoft

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates skills in model selection, task and business-objective definition, data-property analysis, production constraint reasoning, baseline and metric design, and understanding of XGBoost's main strengths, weaknesses, and typical use cases.

Read the full Microsoft Machine Learning Engineer interview experience this question came from

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Microsoft
Mar 10, 2026
mediumMachine Learning EngineerTechnical ScreenMachine Learning
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