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Swiggy Interview Questions

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

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1
CodingStart here. 5 questions · ~56 min
Minimum Window Substring MatchHard
Practice
Recently asked

Use sliding window with frequency counts to find the shortest substring containing all characters of a target string.

ArraysProblem SolvingSliding WindowSwiggy
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2
SQL & Data Manipulation5 questions · ~56 min
Top Restaurants by Order VolumeEasy
Practice

Rank Swiggy restaurants by completed order volume for the previous calendar month using joins, aggregation, and date filtering.

sql querySwiggy
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3
Execution5 questions · ~56 min
Plan a Phased Operations RolloutMedium
Recently asked

Plan a phased rollout for a new operational initiative with clear stages, success criteria, and risk controls.

Launch Planningphased rolloutsProject ManagementSwiggy
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4
Product Sense4 questions · ~45 min
Designing for Accessibility at ScaleMedium
Recently asked

Approach for building accessibility into product design through user needs, research, use cases, and measurable outcomes.

User NeedsPain PointsUse CasesSwiggy
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5
Metrics4 questions · ~45 min
Design an Operations KPI HierarchyMedium
Recently asked

Build a KPI hierarchy that links frontline operational signals to business outcomes and supports better decisions.

operational metricsperformance measurementkpi hierarchySwiggy
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6
A/B Testing & Experimentation4 questions · ~45 min
Common Pitfalls in Experiment ResultsHard
Recently asked

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchSwiggy
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7
More topics23 questions · ~256 min
Statistical Significance in Hypothesis TestingEasy
Recently asked

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceSwiggy
Handling Class Imbalance in ClassificationMedium
Recently asked

Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.

model trainingSupervised LearningClass ImbalanceSwiggy
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