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The Sparks Foundation Interview Questions

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

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1
CodingStart here. 5 questions · ~48 min
2
SQL & Data Manipulation5 questions · ~48 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsThe Sparks Foundation
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3
Pipelines5 questions · ~48 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityThe Sparks Foundation
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4
Machine Learning5 questions · ~48 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 TradeoffThe Sparks Foundation
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5
Execution5 questions · ~48 min
Quality Under Tight DeadlineMedium

Explain how you protect quality on a fixed-deadline engineering project by managing scope, risks, and release criteria.

Launch PlanningTrade-offsScope ManagementThe Sparks Foundation
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6
Metrics5 questions · ~48 min
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsThe Sparks Foundation
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7
More topics20 questions · ~192 min
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingThe Sparks Foundation
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallThe Sparks Foundation
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