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Crayon Data Interview Questions

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

50questions
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1
CodingStart here. 13 questions · ~123 min
Linked List ReversalEasy
Practice

Reverse a singly linked list in-place using iterative pointer manipulation.

RecursionLinked ListsArraysCrayon Data
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2
SQL & Data Manipulation11 questions + 1 drill · ~114 min
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCrayon Data
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
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3
Pipelines7 questions · ~66 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityCrayon Data
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4
Machine Learning5 questions · ~47 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningCrayon Data
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5
System Design4 questions · ~38 min
Scalability of a SystemHard

Tests system design thinking for growth, reliability, and performance under load.

system designscalabilityCrayon Data
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6
Behavioral & Leadership3 questions · ~28 min
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7
More topics7 questions · ~66 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchCrayon Data
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceCrayon Data
Measurable Impact for RecommendationsMedium

Tests ability to define and reason about measurable outcomes for AI recommendations.

Crayon Data
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.