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Arm Interview Questions

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

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1
CodingStart here. 4 questions · ~38 min
2
Machine Learning3 questions · ~28 min
Supervised vs Unsupervised LearningEasy

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffArm
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3
Execution4 questions · ~38 min
Design a Scalable ApplicationEasy

Explain how you would design a scalable application, including trade-offs, risks, stakeholder needs, and how you define success.

Trade-offsRisk AssessmentScope ManagementArm
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4
Pipelines4 questions · ~38 min
Preprocess Data for TrainingMedium

Build a repeatable preprocessing pipeline that cleans, validates, transforms, and versions training data.

ETLData ModelingQualityArm
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5
Metrics4 questions · ~38 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsArm
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6
Strategy3 questions · ~28 min
Staying Current on Industry TrendsEasy

A practical approach for tracking industry trends, competitor moves, and market changes in a way that informs strategy decisions.

EstimationCompetitive AnalysisGrowth StrategyArm
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7
More topics28 questions · ~264 min
Designing for Accessibility at ScaleMedium

Approach for building accessibility into product design through user needs, research, use cases, and measurable outcomes.

User NeedsPain PointsUse CasesArm
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 ServingArm
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.