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Amazon Data Services Interview Questions

The questions to prepare for Amazon Data Services interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 4 questions · ~33 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 MismatchAmazon Data Services
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2
Product Sense3 questions · ~25 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueAmazon Data Services
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionAmazon Data Services
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3
Machine Learning4 questions · ~33 min
Handling Data Drift in ProductionHard

Design a production data-drift monitoring workflow with statistical tests, alerts, retraining rules, and post-deployment model validation.

data driftproduction environmentmodel validationAmazon Data Services
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4
System Design3 questions · ~25 min
Low-Latency Real-Time Inference ArchitectureHard

Design a low-latency real-time inference architecture covering model execution, serving, hardware, scaling, and failure handling.

gpu hardwareinference latencyml inferenceAmazon Data Services
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5
Behavioral & Leadership15 questions · ~125 min
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6
More topics5 questions · ~42 min
Rolling Average Over Last 30 DaysMedium
Practice

Calculate each customer's 30-day rolling engagement average using a PostgreSQL window function.

Date FunctionsData ManipulationAggregationsAmazon Data Services
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLAmazon Data Services
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyAmazon Data Services
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL and Python FundamentalsMedium
Practice
Practice drill

Join two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.

pandasJoinsData ManipulationHsbc
SQL and Programming Interview MixMedium
Practice
Practice drill

Approach a mixed interview round while summarizing completed activity with a CTE, aggregation, and left join.

JoinsCTEssqlWise
The finish line: interview-readyComplete all 34 questions plus 2 hands-on drills to finish this plan.