Top 50
Company roadmap
Updated weekly · Last refresh Aug 30

Electronic Arts (Ea) Interview Questions

The questions to prepare for Electronic Arts (Ea) interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
Track your progressSign up free to work through all 50 questions and resume where you left off.
Start practicing free →
1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~55 min
2
Coding4 questions · ~35 min
Python Average Session DurationEasy
Practice

Compute the average EA SPORTS FC session duration by scanning session records once.

Hash TablesArraysStringsElectronic Arts (Ea)
More Coding questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Machine Learning4 questions · ~35 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 TradeoffElectronic Arts (Ea)
More Machine Learning questions with a free account
4
Metrics5 questions · ~43 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsElectronic Arts (Ea)
More Metrics questions with a free account
5
Pipelines5 questions · ~43 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityElectronic Arts (Ea)
More Pipelines questions with a free account
6
Execution5 questions · ~43 min
Balancing Speed Quality and ScopeHard

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope ManagementElectronic Arts (Ea)
More Execution questions with a free account
7
More topics23 questions · ~199 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 MismatchElectronic Arts (Ea)
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCElectronic Arts (Ea)
More questions with a free account
The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.