Amazon
MLS-C01 · Question #61
A Machine Learning Specialist uploads a dataset to an Amazon S3 bucket protected with server- side encryption using AWS KMS. How should the ML Specialist define the Amazon SageMaker notebook instance
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ML Implementation and Operations
Question
A Machine Learning Specialist uploads a dataset to an Amazon S3 bucket protected with server- side encryption using AWS KMS. How should the ML Specialist define the Amazon SageMaker notebook instance so it can read the same dataset from Amazon S3?
Options
- ADefine security group(s) to allow all HTTP inbound/outbound traffic and assign those security
- Bonfigure the Amazon SageMaker notebook instance to have access to the VPC. Grant permission
- CAssign an IAM role to the Amazon SageMaker notebook with S3 read access to the dataset.
- DAssign the same KMS key used to encrypt data in Amazon S3 to the Amazon SageMaker
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Topics
#IAM Roles#S3 Permissions#KMS Encryption#SageMaker Access