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Censys Interview Questions

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

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1
CodingStart here. 7 questions · ~62 min
2
Machine Learning6 questions · ~53 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 TradeoffCensys
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3
Execution14 questions · ~123 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 ManagementCensys
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4
SQL & Data Manipulation3 questions + 3 drills · ~56 min
5
System Design5 questions · ~44 min
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 ServingCensys
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6
Metrics3 questions · ~26 min
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7
More topics12 questions · ~106 min
Common Model Evaluation MetricsEasy

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

PrecisionAccuracyRecallCensys
Incorporate User Feedback in EngineeringMedium

How to turn user feedback into engineering decisions without losing focus or shipping the wrong fixes.

User ResearchFeature PrioritizationUser NeedsCensys
Kubernetes API on GeoLite2Hard

Tests cloud-native architecture skills including Kubernetes deployment and API service design.

InfrastructureToolsETLCensys
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