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Candescent Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 7 questions · ~62 min
2
Execution7 questions · ~62 min
3
Machine Learning4 questions · ~35 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 TradeoffCandescent
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4
System Design6 questions · ~53 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingCandescent
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5
SQL & Data Manipulation5 questions + 3 drills · ~74 min
6
Pipelines3 questions · ~26 min
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7
More topics18 questions · ~158 min
Explain Vector Search in RAGMedium

Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.

Vector SearchPrompt EngineeringRAGCandescent
Improve Underperforming Model AccuracyMedium

Approach for diagnosing an underperforming model and improving accuracy through error analysis, feature work, tuning, and bias variance tradeoffs.

Cross-ValidationAccuracyThreshold TuningCandescent
Assess New Technology ImpactMedium

Approach for evaluating whether a new technology improves team output, quality, and cost enough to justify adoption.

EstimationCompetitive AnalysisGrowth StrategyCandescent
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.