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Updated weekly · Last refresh Sep 21

Amazon Web Services AI Solutions Architect Interview Questions

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

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1
System DesignStart here. 6 questions · ~61 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
Cloud Data Migration for Drone Soil DataHard

Present an AWS architecture for ingesting, migrating, processing, and analyzing agricultural soil data collected by drones.

cloud architectureedge devicesdata ingestionAmazon Web Services
Real-Time Streaming Analytics on AWSHard

Design a scalable AWS architecture for ingesting, processing, analyzing, and serving real-time streaming data.

cloud architecturescalable architectureanomaly detectionAmazon Web Services
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2
Behavioral & Leadership5 questions · ~51 min
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3
More topics5 questions · ~51 min
Namespace Names in Core LibrariesMedium
Practice

Parse Python import statements and return the exact module namespace associated with a requested imported name.

Codingcompilationcode structureAmazon Web Services
Handling Poor Data QualityHard

Diagnose poor customer data quality, repair reliable issues, and prove model improvements without introducing leakage or bias.

Data Qualitydata preprocessingmodel performanceAmazon Web Services
High-Availability Real-Time AIHard

Whiteboard a resilient Amazon Web Services AI architecture while clarifying requirements, managing stakeholder trade-offs, and validating the design wit...

product knowledgerole playsales processAmazon Web Services
Focal Loss ImplementationHard
Practice

Compute mean binary focal loss from logits and labels using numerically stable log-probability calculations.

backpropagationArraysAlgorithmsAmazon Web Services
Managed AI vs SageMaker Custom ModelsHard

Compare managed AWS AI services with custom Amazon SageMaker models across accuracy, control, operations, cost, latency, and compliance.

model selectionmanaged servicesmodel choiceAmazon Web Services

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