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MLA-C01 · Question #171

A company deployed an Amazon SageMaker AI ML model to an endpoint by calling the CreateModel API operation. The network that was established with the API call includes two private subnets and one secu

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Deployment and Orchestration of ML Workflows

Question

A company deployed an Amazon SageMaker AI ML model to an endpoint by calling the CreateModel API operation. The network that was established with the API call includes two private subnets and one security group. The model must download data from an Amazon S3 bucket and must upload data to the S3 bucket. The traffic to the S3 bucket must not travel across the internet. Which solution will meet these requirements?

Options

  • ACreate a NAT gateway. Configure the security group to allow outbound connections. Configure
  • BCreate a gateway VPC endpoint. Configure an endpoint policy that restricts access to the S3
  • CCreate an interface VPC endpoint. Verify that the security group allows only inbound connections.
  • DCreate a Gateway Load Balancer VPC endpoint. Configure an IAM policy that restricts access to

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Topics

#VPC Endpoints#Amazon S3#Private Networking#SageMaker Deployment
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