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Pattern Interview Questions

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

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1
CodingStart here. 5 questions · ~43 min
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyPattern
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2
Execution5 questions · ~43 min
Roadmap With Competing PrioritiesHard

Build and execute an engineering roadmap when product, reliability, and platform priorities compete for the same team capacity.

RoadmappingScope ManagementPrioritizationPattern
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3
Product Sense4 questions · ~34 min
Turn Research Into RequirementsMedium

Explain how you run user research and convert feedback into clear, prioritized product requirements.

User Researchfeedback incorporationproduct requirementsPattern
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4
SQL & Data Manipulation5 questions + 3 drills · ~73 min
Understanding ACID Properties in DatabasesMedium

Explain the ACID properties of database transactions and their importance.

Pattern
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
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5
Pipelines5 questions · ~43 min
Secure Terraform State ManagementMedium

Approach for securing Terraform state across teams, environments, and automated deployment pipelines.

InfrastructureDependenciesQualityPattern
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6
Strategy4 questions · ~34 min
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7
More topics22 questions · ~188 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchPattern
Sample Size and Power PlanningMedium

Reason about sample size, power, and minimum detectable effect before launching an experiment.

Hypothesis TestingPower AnalysisSample SizePattern
Choosing Model Evaluation TechniquesEasy

Explain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.

PrecisionAccuracyRecallPattern
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.