A data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket. How should the data scientist accomplish this?
A) Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.
B) Encrypt the objects in the S3 bucket with a custom AWS Key Management Service (AWS KMS) key that only the notebook owner has access to.
C) Attach the policy to the IAM role associated with the notebook that allows GetObject, PutObject, and ListBucket operations to the specific S3 bucket.
D) Use a script in a lifecycle configuration to configure the AWS CLI on the instance with an access key ID and secret.

Question

Quizplus · Accepted Answer

Attaching the policy to the IAM role associated with the notebook is the most secure and recommended way to grant the necessary permissions to access the specific S3 bucket.

A Data Scientist Is Using an Amazon SageMaker Notebook Instance