DataArt Interview Questions
The questions to prepare for DataArt interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Compare Java abstract classes and interfaces, including inheritance rules, shared behavior, and when each is the better design choice.
Describe the QA tools you've used and how they supported delivery execution, defect tracking, and stakeholder alignment.
Approach for maintaining data quality and integrity across ETL pipelines.
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Explain practical SQL approaches for identifying, removing, and preventing duplicates and NULL-related data quality issues.
Reduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
Describe how to evaluate LLM agents using metrics beyond accuracy, including tool use, hallucination, and calibration.
Tests breadth of UX research techniques and when to apply them.