Which solution will meet these requirements?
Create an AWS CodeCommit repository for each package that the data scientists need to access. Configure code synchronization between the PyPI repository and the CodeCommit repository. Create a VPC endpoint for CodeCommit.
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 PyPI repository endpoint.
Create a NAT instance in the VPConfigure VPC routes to allow access to the internet. Configure SageMaker notebook instance firewall rules that allow access to only the PyPI repository endpoint.
Create an AWS CodeArtifact domain and repository. Add an external connection for public:pypi to the CodeArtifact repository. Configure the Python client to use the CodeArtifact repository. Create a VPC endpoint for CodeArtifact.
Explanations:
While creating an AWS CodeCommit repository for each package and synchronizing with PyPI could provide access, it requires manual management and synchronization of packages, which is not efficient or practical. Additionally, it does not directly provide access to PyPI but rather to specific packages, complicating the workflow for data scientists who may need various packages.
A NAT gateway would provide general internet access, which contradicts the requirement to keep SageMaker instances isolated from the internet. While it could be configured to restrict access to only the PyPI repository, the solution still involves internet connectivity, which is not acceptable in this scenario.
Similar to option B, using a NAT instance to enable internet access is contrary to the requirement of keeping the SageMaker instances isolated from the internet. Although it may allow access to the PyPI repository specifically, the fundamental issue of providing internet access remains problematic.
Creating an AWS CodeArtifact domain and repository allows for direct access to the Python Package Index while maintaining isolation from the internet. By adding an external connection to public PyPI and configuring the Python client to use CodeArtifact, data scientists can manage packages without needing internet access. Additionally, a VPC endpoint for CodeArtifact ensures secure communication without traversing the public internet.
I map out that the answer is:
Create an AWS CodeArtifact domain and repository. Add an external connection for public:pypi to the CodeArtifact repository. Configure the Python client to use the CodeArtifact repository. Create a VPC endpoint for CodeArtifact.