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Brain Interview Questions

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

50questions
~8htotal time
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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

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffBrain
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4
Metrics4 questions · ~40 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsBrain
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5
Product Sense5 questions · ~50 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 VisionBrain
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6
Execution5 questions · ~50 min
Balance Speed, Quality, and ScopeMedium

Describe how you handled a tough trade-off between shipping fast, maintaining quality, and reducing scope.

Trade-offsRisk AssessmentScope ManagementBrain
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7
More topics21 questions · ~209 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 StrategyBrain
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingBrain
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.