Exam AWS Certified Machine Learning - Specialty topic 1 question 134 discussion

A; IAM assigned to SageMaker Notebook instance can be passed to other SageMaker jobs like training; processing, automl, etc.,

A is not correct, for safety and principle of least privilege, you should decouple the role of each service.

based on answers from here

Option A: The IAM role is created with the necessary permissions to create Amazon SageMaker Processing jobs, read and write data to the relevant S3 bucket, and access the KMS CMKs and ECR container image. The IAM role is attached to the SageMaker notebook instance, which allows the notebook to assume the role and create the Amazon SageMaker Processing job with the necessary permissions. The Amazon SageMaker Processing job is created from the notebook, which ensures that the job has the necessary permissions to read data from S3, process it, and upload it back to the same S3 bucket. Option B is close, but it's not entirely correct. It mentions creating an IAM role with permissions to create Amazon SageMaker Processing jobs, but it doesn't mention attaching the role to the SageMaker notebook instance. This is a crucial step, as it allows the notebook to assume the role and create the Amazon SageMaker Processing job with the necessary permissions.

The correct solution for granting permissions for data preprocessing is to use the following steps:Create an IAM role that has permissions to create Amazon SageMaker Processing jobs. Attach therole to the SageMaker notebook instance. This role allows the ML specialist to run Processing jobsfrom the notebook code1 Create an Amazon SageMaker Processing job with an IAM role that hasread and write permissions to the relevant S3 bucket, and appropriate KMS and ECR permissions.This role allows the Processing job to access the data in the encrypted S3 bucket, decrypt it with theKMS CMK, and pull the container image from ECR23 The other options are incorrect because theyeither miss some permissions or use unnecessary steps. For example

Least priv.

A. Create an IAM role with S3, KMS, ECR permissions and SageMaker Processing job creation permissions. Attach it to the SageMaker notebook instance: This option seems comprehensive as it includes all necessary permissions. However, attaching this role directly to the SageMaker notebook instance would not be sufficient for the Processing job itself. The Processing job needs its own role with appropriate permissions. B. Create two IAM roles: one for the SageMaker notebook with permissions to create Processing jobs, and another for the Processing job itself with S3, KMS, and ECR permissions: This option is more aligned with best practices. The notebook instance and the Processing job have different roles tailored to their specific needs. This separation ensures that each service has only the permissions necessary for its operation, following the principle of least privilege.

The processing job may not run on the notebook instance. AWS will provide resources to execute the job. So A is wrong. B.

If we follow the principle of Least Privillege, B is correct. The notebook instance does not need access to S3 and KMS given that it is only needed to trigger the processsing Job.

Not A b/c it does not indicate perms given to the Job via IAM role. => I went with B.

My answer is B. The notebook instance doesn't need access to S3 and ECR. This access is needed for Processing Job only. And as a best practice of least privilege I'll choose B

where permissions are granted to the SageMaker Processing job itself and not to the notebook instance. This approach offers better security and control over permissions, making it the preferred choice for running SageMaker Processing jobs with the required access to S3, KMS, and ECR. ( Follows the principle of least privilege and have more control over permissions.

It says "Amazon SageMaker Processing job that is triggered from code in an Amazon SageMaker notebook." - so A or C. There is no need to create an S3 endpoint (C), that is only to allow traffic over the internet. So A.

Confusing between A and B. Leaning to B The main difference between A and B is the IAM role that is attached to the SageMaker notebook instance. In A, the role has permissions to access the data, the container image, and the KMS CMK. In B, the role only has permissions to create SageMaker Processing jobs. This means that in A, the notebook instance can potentially access or modify the data or the image without using a Processing job, which is not desirable. In B, the notebook instance can only create Processing jobs, and the Processing jobs themselves have a separate IAM role that grants them access to the data, the image, and the KMS CMK. This way, the data and the image are only accessed by the Processing jobs, which are more secure and controlled than the notebook instance.

Letters C and D are wrong, as they bring VPC, something that is not mentioned in the problem. Letter A is correct, since Letter B asks for the creation of two different IAM roles.

Option A ensures that the role has the necessary permissions to access the required resources (S3, KMS, ECR) and that the notebook has the ability to create a processing job in SageMaker seamlessly. It also follows the principle of "least privilege" by granting only the necessary permissions to perform the task without exposing more access than required.

Probably A is simpler than B. Per https://docs.aws.amazon.com/sagemaker/latest/dg/security-iam-awsmanpol.html#security-iam-awsmanpol-AmazonSageMakerFullAccess One IAM Role can do everything.