A team of data scientists is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs. Occasionally, the data scientists require access to the Python Package Index (PyPI) repository to update Python packages that they use as part of their workflow. A solutions architect must provide access to the PyPI repository while ensuring that the SageMaker instances remain isolated from the internet. Which solution will meet these requirements?
Select one answer.
Marked answer: D
Community Discussion
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Chose D1
D for sure
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Why not C , can use NAT gateway and Sagemaker instance notebook rules as there were not asking for cost-effective
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Requirement is to isolate Sagemaker instances from the Internet
