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nference Interview Questions

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

50questions
~8htotal time
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1
CodingStart here. 6 questions · ~60 min
2
Pipelines6 questions · ~60 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitynference
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3
Machine Learning6 questions · ~60 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 Tradeoffnference
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4
Execution6 questions · ~60 min
Balancing Speed Quality and ScopeHard

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope Managementnference
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5
Product Sense5 questions · ~50 min
Advocate for Users in DesignMedium

Explain how to keep user needs central throughout the design process, from research through launch and iteration.

User ResearchUser NeedsValue Propositionnference
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6
SQL & Data Manipulation6 questions + 3 drills · ~90 min
7
More topics15 questions · ~151 min
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallnference
Python and Django API ImplementationHard

Assesses your practical backend engineering skills with Python and Django.

APIspythonnference
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