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SMX Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 5 questions · ~43 min
2
SQL & Data Manipulation5 questions + 2 drills · ~63 min
3
Execution6 questions · ~52 min
Recover a Slipping ProjectMedium

Explain how you would diagnose and recover a project that is falling behind schedule without losing stakeholder trust.

Success CriteriaRoadmappingRisk AssessmentSMX
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4
Metrics5 questions · ~43 min
Define Success for a ProjectEasy

Define what success means for a project using clear KPIs, a north star, and supporting metrics.

KPIsSuccess CriteriaDiagnosisSMX
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5
Pipelines5 questions · ~43 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySMX
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6
Machine Learning5 questions · ~43 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 TradeoffSMX
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7
More topics19 questions · ~165 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentSMX
Choose the Right Evaluation MetricsEasy

Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.

PrecisionAccuracyRecallSMX
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.