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University of Washington Interview Questions

The questions to prepare for University of Washington interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 5 questions · ~47 min
2
SQL & Data Manipulation5 questions + 1 drill · ~57 min
3
Pipelines4 questions · ~37 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityUniversity of Washington
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4
Execution5 questions · ~47 min
Prioritize Work Under Tight DeadlinesEasy

Explain how you prioritize competing work under time pressure while making trade-offs and keeping stakeholders aligned.

Trade-offsRoadmappingScope ManagementUniversity of Washington
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5
Machine Learning3 questions · ~28 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 TradeoffUniversity of Washington
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6
Metrics5 questions · ~47 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsUniversity of Washington
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7
More topics23 questions · ~214 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 MismatchUniversity of Washington
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 ServingUniversity of Washington
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