NTT DATA AI Engineer Interview Questions
The questions to prepare for a NTT DATA AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Implement an LRU cache in O(1) average time using a hash table and doubly linked list.
NTT DATASort intervals by start time, then greedily merge overlaps into a non-overlapping result array.
NTT DATAExplain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.
NTT DATAExplain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.
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Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
NTT DATADesign a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.
NTT DATADesign an eval-first framework for a grounded LLM assistant, covering quality, hallucination, safety, latency, and cost before scaling.
NTT DATAExplain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.
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