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AIP-C01 · Question #29

AIP-C01 Question #29: Real Exam Question with Answer & Explanation

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Deployment, Operations, and Optimization

Question

A company is designing a solution that uses foundation models (FMs) to support multiple AI workloads. Some FMs must be invoked on demand and in real time. Other FMs require consistent high-throughput access for batch processing. The solution must support hybrid deployment patterns and run workloads across cloud infrastructure and on-premises infrastructure to comply with data residency and compliance requirements. Which combination of steps will meet these requirements? (Select TWO.)

Options

  • AUse AWS Lambda to orchestrate low-latency FM inference by invoking FMs hosted on Amazon
  • BConfigure provisioned throughput in Amazon Bedrock to ensure consistent performance for high-
  • CDeploy FMs to Amazon SageMaker AI endpoints with support for edge deployment by using
  • DUse Amazon Bedrock with auto-scaling to handle unpredictable traffic surges.
  • EUse Amazon SageMaker JumpStart to host and invoke the FMs.

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Topics

#Generative AI Deployment#Amazon Bedrock#Amazon SageMaker#Hybrid Cloud Architectures
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