AWS Certified AI Practitioner AIF-C01 Practice Question
A data science team trains models in Amazon SageMaker using sensitive data stored in Amazon S3. The company must guarantee that all traffic between SageMaker and the S3 bucket stays on the AWS network and never goes over the public internet. What should the team do?
Create an Amazon S3 interface VPC endpoint using AWS PrivateLink and route SageMaker traffic through it.
Enable Amazon Macie to classify objects in the S3 bucket.
Enable server-side encryption with Amazon S3-managed keys (SSE-S3) on the bucket.
Attach an IAM role to SageMaker that grants s3:GetObject and s3:PutObject permissions.
Creating an Amazon S3 interface VPC endpoint provides a private connection between resources in the VPC and Amazon S3 through AWS PrivateLink. Traffic routed through the endpoint remains on the AWS backbone, so it never traverses the public internet. Server-side encryption protects data at rest but does not control network paths. Amazon Macie helps discover sensitive data but also does not affect the network route. Granting SageMaker an IAM role controls authorization, not the physical connectivity path.
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AWS Certified AI Practitioner AIF-C01
Security, Compliance, and Governance for AI Solutions
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