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ProSidian Interview Questions

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

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1
Machine LearningStart here. 8 questions · ~64 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 TradeoffProSidian
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2
Model Evaluation3 questions · ~24 min
Diagnose Consistently Inaccurate PredictionsHard

Approach for diagnosing why a model's predictions are consistently inaccurate.

CalibrationAccuracyThreshold TuningProSidian
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3
SQL & Data Manipulation4 questions + 3 drills · ~62 min
Handling Missing and Skewed DataMedium

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData WranglingProSidian
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Analyze Decision Impact by RegionEasy
Practice
Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregationsHarbourVest Partners
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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4
Metrics5 questions · ~40 min
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5
Behavioral & Leadership21 questions · ~169 min
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6
More topics9 questions · ~72 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityProSidian
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 MismatchProSidian
Deploy a Cloud ML Inference SystemMedium

Design a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.

InfrastructureFeature DriftModel ServingProSidian
Optimize Slow CodeMedium

Tests your performance debugging skills and ability to improve runtime and resource usage.

Hash TablesDynamic ProgrammingArraysProSidian
Workforce Survey Significance TestingMedium

Tests your ability to choose appropriate hypothesis tests for workforce survey results.

Statistical SignificancevalidationProSidian
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