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Amazon Web Services AWS Certified Solutions Architect - Professional SAP-C02 Question # 32 Topic 4 Discussion

Amazon Web Services AWS Certified Solutions Architect - Professional SAP-C02 Question # 32 Topic 4 Discussion

SAP-C02 Exam Topic 4 Question 32 Discussion:
Question #: 32
Topic #: 4

A company is using Amazon SageMaker AI Notebook Instances and SageMaker APIs to train machine learning models. The SageMaker AI Notebook Instances are deployed in a VPC that does not have access to or from the internet. Datasets for model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.

Occasionally, data scientists require access to a private Git repository to update application packages that they use as part of their workflow. The company must provide access to the Git repository while ensuring that the SageMaker AI Notebook Instances remain isolated from the internet.

Which solution meets these requirements with the LEAST operational overhead?


A.

Add the Git repository as a resource for SageMaker by referencing the remote URL. Configure AWS Secrets Manager to use Git credentials to access the repository.


B.

Add the Git repository as a resource for SageMaker by referencing the remote URL. Add the username to the URL that is required to access the repository.


C.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet. Configure network ACL rules that allow the SageMaker AI Notebook Instances access to only the Git repository URL.


D.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the Git repository URL.


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