Accenture in India Interview Questions
The questions to prepare for Accenture in India interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
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Reduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
Summarize relevant product experience, emphasizing user needs, decisions, outcomes, and lessons learned.
Explain OLTP vs OLAP designs, including schema shape, workload patterns, and when each is appropriate in a data platform.
Explain how regression and classification differ, including target type, outputs, and how you evaluate each.
Explain how to design resilient automation for dynamic UI elements using locator strategy, waits, and abstraction.
Explain how to select, calculate, and interpret model evaluation metrics for a practical machine learning assessment.
Build a claims reporting query that balances normalized writes with monthly reporting performance.
MetLifeOptimize a PostgreSQL query that aggregates millions of Uber rides and ranks active drivers by city.
UberExtract and aggregate completed JSON events efficiently while filtering batches before processing payload data.
Keystone