Accenture in India AI Engineer Interview Questions
The questions to prepare for a Accenture in India AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Reduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
Evaluates your judgment in choosing evaluation tooling that matches accuracy, cost, and coverage needs.
Explain how regression and classification differ, including target type, outputs, and how you evaluate each.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Assesses your ability to explain how you evaluate model performance using structured metrics.
Assesses your approach to scaling agent orchestration, reliability, and throughput for real deployments.
Assesses your approach to using embeddings to improve recommendation relevance and ranking.
Tests ability to select appropriate quantitative and qualitative metrics for LLM evaluation.
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