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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 daily.

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1
CodingStart here. 5 questions · ~53 min
2
SQL & Data Manipulation5 questions · ~53 min
Handling Missing DataEasy
Practice

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingFactual
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3
Pipelines5 questions · ~53 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 · ~42 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 · ~53 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 · ~53 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 · ~221 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingFactual
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
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