QuestionQ27

Foundation Model Integration, Data Management, and Compliance

A company is designing a solution that uses foundation models (FMs) to support multiple AI workloads. Some FMs must be invoked on demand in real time. Other FMs need consistent, high-throughput access for batch processing.

The solution must support hybrid deployment patterns and run workloads across cloud and on-premises infrastructure to meet data residency and compliance requirements.

Which combination of steps meets these requirements?

Choose two
Explanation

Amazon Bedrock Provisioned Throughput supplies dedicated model capacity for consistent, high-volume workloads. Amazon SageMaker AI endpoints support real-time inference, while SageMaker Neo can optimize and deploy supported models for both cloud instances and edge devices, enabling a hybrid cloud/on-premises pattern.

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