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EY-Parthenon Interview Questions

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

50questions
~7htotal time
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1
StrategyStart here. 5 questions · ~40 min
2
Pipelines5 questions · ~40 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityEY-Parthenon
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3
Machine Learning5 questions · ~40 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 TradeoffEY-Parthenon
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4
Metrics5 questions · ~40 min
Define Success for a ProjectEasy

Define what success means for a project using clear KPIs, a north star, and supporting metrics.

KPIsSuccess CriteriaDiagnosisEY-Parthenon
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5
Execution5 questions · ~40 min
Plan a Phased Operations RolloutMedium

Plan a phased rollout for a new operational initiative with clear stages, success criteria, and risk controls.

Launch Planningphased rolloutsProject ManagementEY-Parthenon
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6
System Design5 questions · ~40 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 ServingEY-Parthenon
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7
More topics20 questions · ~162 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 MismatchEY-Parthenon
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesEY-Parthenon
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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.