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Flow Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 6 questions · ~50 min
Input Validation FunctionEasy
Practice

Validate a Flow workspace slug with length and character rules using a single linear scan.

Hash TablesStringsFlow
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2
Pipelines6 questions · ~50 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityFlow
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3
Execution5 questions · ~42 min
Handle Ambiguity in Security DecisionsEasy

Explain how you would make progress on a security initiative when requirements, data, and stakeholder priorities are unclear.

Trade-offsRisk AssessmentScope ManagementFlow
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4
Machine Learning4 questions · ~33 min
Handling Collinearity in High-Frequency DataMedium

Tests feature engineering and modeling strategies for multicollinearity in trading data.

Feature EngineeringBias-Variance TradeoffRegularizationFlow
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5
Statistics & Probability6 questions · ~50 min
Binary Tree Option PricingHard

Tests quantitative finance fundamentals and modeling options with time-varying volatility.

DistributionsConditional ProbabilityFlow
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6
System Design4 questions · ~33 min
End-to-End ML for Signal RankingHard

Tests ML system design for production trading, including monitoring and resilience.

Feature StoreRankingModel ServingFlow
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7
More topics19 questions · ~158 min
Arbitrage Concept and ExampleMedium

Evaluates understanding of arbitrage and its practical manifestation in markets.

market dynamicsFlow
SQL Pre vs Post Change AnalysisMedium

Tests SQL skills for causal-ish comparisons and robust time-windowed aggregations.

Date FunctionsJoinsAggregationsFlow
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.