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T-Mobile Interview Questions

The questions to prepare for T-Mobile interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

50questions
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1
CodingStart here. 5 questions · ~50 min
2
SQL & Data Manipulation5 questions + 2 drills · ~70 min
3
Machine Learning5 questions · ~50 min
Supervised vs Unsupervised LearningEasy
Recently asked

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffT-Mobile
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4
Execution5 questions · ~50 min
Balancing Speed Quality and ScopeHard

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope ManagementT-Mobile
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5
System Design3 questions · ~30 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingT-Mobile
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6
Pipelines5 questions · ~50 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityT-Mobile
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7
More topics22 questions · ~219 min
Align Product With User NeedsMedium

A framework for connecting user needs to business goals, then making product decisions with clear trade-offs and measurable outcomes.

User NeedsValue PropositionProduct VisionT-Mobile
Choose Product Success KPIsEasy

Define a practical KPI set for product success, balancing a north star metric with leading indicators.

North Star MetricKPIsLeading IndicatorsT-Mobile
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.