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Ernst & Young Advisory Services Sdn Bhd AI Engineer Interview Questions

The questions to prepare for a Ernst & Young Advisory Services Sdn Bhd AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 3 questions · ~24 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLErnst & Young Advisory Services Sdn Bhd
Data Quality in ML PipelinesMedium

Approach for maintaining high quality data across ML pipelines, from ingestion through feature generation and model consumption.

Data QualityInfrastructureData WranglingErnst & Young Advisory Services Sdn Bhd
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2
System Design3 questions · ~24 min
Deploy a Personalized Ranking ModelMedium

Design a production deployment path for a personalized ranking model, with serving, feature consistency, drift handling, and experiment driven rollout.

InfrastructureFeature DriftModel ServingErnst & Young Advisory Services Sdn Bhd
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingErnst & Young Advisory Services Sdn Bhd
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3
Behavioral & Leadership10 questions · ~81 min
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4
More topics5 questions · ~40 min
Approach to Underperforming ModelsMedium

Structured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.

PrecisionAccuracyRecallErnst & Young Advisory Services Sdn Bhd
Explain Vector Search in RAGMedium

Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.

Vector SearchPrompt EngineeringRAGErnst & Young Advisory Services Sdn Bhd
Optimizing Sorting for Large DatasetsMedium

Explain how to choose and optimize sorting approaches for large datasets based on memory, data distribution, and stability requirements.

ArraysSortingGreedyErnst & Young Advisory Services Sdn Bhd
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffErnst & Young Advisory Services Sdn Bhd
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