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Factual Interview Questions

The questions to prepare for Factual 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 · ~46 min
2
SQL & Data Manipulation5 questions + 2 drills · ~66 min
3
Pipelines5 questions · ~46 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityFactual
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4
Machine Learning4 questions · ~36 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 TradeoffFactual
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5
Execution5 questions · ~46 min
Prioritize Across Competing Data ProjectsEasy

Explain how you prioritize across multiple concurrent data engineering projects with competing stakeholder needs and limited capacity.

Trade-offsRoadmappingScope ManagementFactual
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6
Metrics5 questions · ~46 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisFactual
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7
More topics21 questions · ~192 min
Approach a User Research ProjectEasy

A structured approach to planning and running a user research project that identifies user needs and drives product decisions.

User ResearchUser NeedsPain PointsFactual
Pivoting Strategy From Customer SignalsMedium

Describe how you used market or customer data to change course, and how you made the new strategy credible and measurable.

EstimationCompetitive AnalysisGrowth StrategyFactual
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