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Zensar Technologies Interview Questions

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

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1
CodingStart here. 5 questions · ~51 min
2
SQL & Data Manipulation4 questions + 1 drill · ~51 min
3
Machine Learning4 questions · ~41 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 TradeoffZensar Technologies
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4
System Design4 questions · ~41 min
Design Feature Drift Monitoring SystemHard
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Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingZensar Technologies
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5
Generative AI & LLMs4 questions · ~41 min
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationZensar Technologies
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6
Metrics5 questions · ~51 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsZensar Technologies
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7
More topics24 questions · ~244 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 ManagementZensar Technologies
Approach a User Research ProjectEasy

A structured approach to planning and running a user research project that identifies user needs and drives product decisions.

User ResearchUser NeedsPain PointsZensar Technologies
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.