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Biohub Interview Questions

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

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1
CodingStart here. 5 questions · ~49 min
2
Pipelines6 questions · ~59 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityBiohub
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3
Execution5 questions · ~49 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 AssessmentBiohub
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4
Machine Learning5 questions · ~49 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 TradeoffBiohub
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5
Statistics & Probability5 questions · ~49 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesBiohub
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6
Model Evaluation5 questions · ~49 min
Choosing Classification Evaluation MetricsEasy

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

PrecisionAccuracyRecallBiohub
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7
More topics19 questions · ~187 min
SQL Window Functions RankingEasy
Practice

Use PostgreSQL CTEs and ROW_NUMBER to return the top three products by monthly revenue within each category.

Window FunctionsRankingGroup ByBiohub
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisBiohub
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
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