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Crayon Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 3 questions · ~26 min
2
System Design8 questions · ~69 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingCrayon
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3
Execution8 questions · ~69 min
Prioritize Work Across Multiple AccountsEasy

Explain how you prioritize across multiple accounts when time, stakeholder demands, and revenue impact compete.

Trade-offsRoadmappingScope ManagementCrayon
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4
Metrics3 questions · ~26 min
Analyze Campaign Metrics That MatterEasy

Explain how you evaluated a marketing campaign using funnel, efficiency, and business outcome metrics.

KPIsLeading IndicatorsDiagnosisCrayon
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5
Machine Learning7 questions · ~61 min
Feature Engineering for New ModelsMedium

Explain a practical framework for feature engineering, from raw data review to validation of feature impact on held-out data.

Feature EngineeringModel EvaluationSupervised LearningCrayon
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6
Generative AI & LLMs5 questions · ~43 min
Approach LLM Fine-Tuning for TasksMedium

Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.

Prompt EngineeringLLM EvaluationFine-TuningCrayon
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7
More topics16 questions · ~139 min
Data Quality in ML PipelinesMedium

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingCrayon
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallCrayon
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.