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OM Group Interview Questions

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

25questions
~3htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Normalization and IndexingMedium

Tests database fundamentals and ability to reason about performance tradeoffs.

performancenormalizationindexesOM Group
Concurrency Conflict HandlingHard

Tests strategies for concurrency control and data consistency under simultaneous updates.

transactionsdata integrityconcurrencyOM Group
Data Integrity in Bulk ImportsMedium

Tests approach to validation, constraints, and safe migration practices for reliable data changes.

data integrityOM Group
SQL Duplicate Record DetectionEasy
Practice
Practice drill

Find duplicate American Institutes for Research assessment submissions using a CTE, GROUP BY, HAVING, and joins.

deduplicationsqldata integrityAmerican Institutes for ResearchMacy's
Write a Query for Repeated RowsMedium
Practice
Practice drill

Find repeated Zomato order items using GROUP BY, HAVING, a CTE, and STRING_AGG.

sqldata integrityZomato
Impute Sparse Assessment ScoresHard
Practice
Practice drill

Use CTEs, joins, CASE, and null handling to clean sparse assessment scores and impute missing values per question.

null handlingData Wranglingdata integrityMercor
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2
Behavioral & Leadership17 questions · ~136 min
Prioritizing Conflicting High-Stakes WorkEasy

Tests prioritization under pressure, stakeholder management, and ownership when multiple urgent requests compete for limited time.

Stakeholder ManagementOwnershipDealing With AmbiguityOM Group
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3
More topics4 questions · ~32 min
Design an LLM Serving PlatformHard

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

Cold StartFeature StoreModel ServingOM Group
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 EvaluationOM Group
Explain Embeddings in NLPMedium

Explain how embeddings represent text, why they help NLP models, and how to use them in practice.

Language ModelsText ClassificationWord EmbeddingsOM Group
Design a Multi-Agent Research AssistantMedium

Design a grounded multi-agent assistant that plans, retrieves, and synthesizes answers under strict latency, cost, and hallucination limits.

Prompt EngineeringRAGLLM AgentsOM Group

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