Summer Special Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: vce65

A Data Science team within a large company uses Amazon SageMaker notebooks to access data...

A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets. The IT Security team is concerned that internet-enabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy. The company mandates that all instances stay within a secured VPC with no internet access, and data communication traffic must stay within the AWS network.

How should the Data Science team configure the notebook instance placement to meet these requirements?

A.

Associate the Amazon SageMaker notebook with a private subnet in a VPC. Place the Amazon SageMaker endpoint and S3 buckets within the same VPC.

B.

Associate the Amazon SageMaker notebook with a private subnet in a VPC. Use 1AM policies to grant access to Amazon S3 and Amazon SageMaker.

C.

Associate the Amazon SageMaker notebook with a private subnet in a VPC. Ensure the VPC has S3 VPC endpoints and Amazon SageMaker VPC endpoints attached to it.

D.

Associate the Amazon SageMaker notebook with a private subnet in a VPC. Ensure the VPC has a NAT gateway and an associated security group allowing only outbound connections to Amazon S3 and Amazon SageMaker

Amazon Web Services MLS-C01 Summary

  • Vendor: Amazon Web Services
  • Product: MLS-C01
  • Update on: Jul 28, 2025
  • Questions: 330
Price: $52.5  $149.99
Buy Now MLS-C01 PDF + Testing Engine Pack

Payments We Accept

Your purchase with ExamsVCE is safe and fast. Your products will be available for immediate download after your payment has been received.
The ExamsVCE website is protected by 256-bit SSL from McAfee, the leader in online security.

examsvce payment method