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Amazon Web Services AI Architect Interview Questions

The questions to prepare for a Amazon Web Services AI Architect interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 5 questions · ~47 min
ResNet50 and Practical LimitationsHard

Explain ResNet50, residual connections, and the practical tradeoffs affecting its training, accuracy, and deployment.

gpu hardwareinference latencymodel inferenceAmazon Web Services
Designing Scalable RAG on AWSHard

Design a scalable Amazon Web Services RAG system covering ingestion, retrieval, generation, evaluation, serving, and failure handling.

factual groundingcloud architectureRAGAmazon Web Services
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2
Machine Learning4 questions · ~38 min
Optimizing Inference CostsHard

Design a cost-aware inference strategy for generative AI while preserving throughput, latency, and output quality.

model selectioninference optimizationModel EvaluationAmazon Web Services
Troubleshooting ML Performance BottlenecksHard

Explain how you diagnosed and resolved a performance bottleneck in a distributed machine learning training pipeline.

distributed systemsmodel trainingModel EvaluationAmazon Web Services
Choosing Foundation ModelsHard

Evaluate foundation models against partner requirements for quality, cost, latency, safety, customization, and operational fit.

model selectionmodel fine-tuningModel EvaluationAmazon Web Services
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3
Behavioral & Leadership11 questions · ~104 min
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4
More topics3 questions · ~28 min
Implement a Clustering AlgorithmHard
Practice

Implement deterministic k-means clustering by repeatedly assigning points and recomputing centroid means.

ArraysData StructuresAlgorithmsAmazon Web Services
Security and Compliance for AI DeploymentsHard

Design AWS data pipelines that protect enterprise AI data and provide auditable compliance controls.

data securityGovernancedata pipelinesAmazon Web Services
Implement Focal LossHard
Practice

Implement binary focal loss from logits using a numerically stable formulation and configurable alpha, gamma, and mean reduction.

ArraysAlgorithmsedge casesAmazon Web Services

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