NTT DATA GenAI Engineer Interview Questions

The questions to prepare for a NTT DATA GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.

RAG vs Training From Scratch

Medium

Assesses your ability to choose between RAG and fine-tuning based on cost, quality, and constraints.

Trade-offsRAGmodel training

NTT DATA

Fine-Tuning Large Language Models

Medium

Assesses your approach to fine-tuning LLMs, including data, training strategy, and validation.

Fine-Tuning

NTT DATA

More Machine Learning questions with a free account

Handling Latency in Real Time

Medium

Tests your strategies for meeting latency targets in production GenAI systems.

latencygenerative ai

NTT DATA

Scalable GenAI API Pipeline

Hard

Assesses system design for production-grade GenAI model serving, scalability, and reliability.

api designscalability

NTT DATA

More System Design questions with a free account

Approach for building privacy controls, lineage, and auditability into data pipelines that handle personal data.

Vector Databases in GenAI Pipelines

Medium

Evaluates your understanding of embeddings, retrieval, and how vector databases support GenAI workflows.

data management

NTT DATA

Tests your ability to choose robust evaluation metrics and interpret model quality.

Create a free account to unlock this list and practice real interview questions.

Mitigating Hallucinations

Medium

Evaluates methods to reduce hallucinations and improve reliability of GenAI responses.

Hallucinationgenerative ai

NTT DATA