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Magic Al Interview Questions

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

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1
CodingStart here. 6 questions · ~57 min
2
Machine Learning6 questions · ~57 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 TradeoffMagic Al
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3
Product Sense6 questions · ~57 min
Align Product With User NeedsMedium

A framework for connecting user needs to business goals, then making product decisions with clear trade-offs and measurable outcomes.

User NeedsValue PropositionProduct VisionMagic Al
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4
Pipelines6 questions · ~57 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityMagic Al
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5
Execution6 questions · ~57 min
Choose Agile vs WaterfallMedium

Explain Agile vs Waterfall and how to choose the right delivery model based on scope, risk, and planning needs.

Trade-offsSuccess CriteriaScope ManagementMagic Al
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6
System Design6 questions · ~57 min
Deploy an On-Device Mobile ModelMedium

Design deployment for an on-device mobile ML model, including serving, updates, evaluation, and monitoring across heterogeneous devices.

InfrastructureFeature StoreModel ServingMagic Al
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7
More topics14 questions · ~132 min
Design Success Metrics FrameworkMedium

Define a practical framework for judging design success using leading, lagging, and funnel-based product metrics.

KPIsConversion RateEngagement MetricsMagic Al
Assumptions and Sensitivity AnalysisHard

Tests how you stress-test assumptions and quantify risk in financial forecasts.

sensitivity analysisFinancial ModelingMagic Al
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.