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Google DeepMind Interview Questions

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

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1
CodingStart here. 4 questions · ~41 min
2
SQL & Data Manipulation3 questions + 1 drill · ~40 min
3
Machine Learning4 questions · ~41 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 TradeoffGoogle DeepMind
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4
System Design4 questions · ~41 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 ServingGoogle DeepMind
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5
Pipelines4 questions · ~41 min
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingGoogle DeepMind
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6
Execution4 questions · ~41 min
Describe a Challenging ProjectEasy

Share a challenging project, your role, the risks and trade-offs you managed, and the final outcome.

Trade-offsRoadmappingRisk AssessmentGoogle DeepMind
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7
More topics27 questions · ~274 min
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsGoogle DeepMind
Interpreting P Values in TestingEasy

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

Hypothesis TestingStatistical SignificanceP-ValuesGoogle DeepMind
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.