MLS-C01 · Question #160
MLS-C01 Question #160: Real Exam Question with Answer & Explanation
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Question
A company is building a predictive maintenance model based on machine learning (ML). The data is stored in a fully private Amazon S3 bucket that is encrypted at rest with AWS Key Management Service (AWS KMS) CMKs. An ML specialist must run data preprocessing by using an Amazon SageMaker Processing job that is triggered from code in an Amazon SageMaker notebook. The job should read data from Amazon S3, process it, and upload it back to the same S3 bucket. The preprocessing code is stored in a container image in Amazon Elastic Container Registry (Amazon ECR). The ML specialist needs to grant permissions to ensure a smooth data preprocessing workflow. Which set of actions should the ML specialist take to meet these requirements?
Options
- ACreate an IAM role that has permissions to create Amazon SageMaker Processing jobs, S3 read
- BCreate an IAM role that has permissions to create Amazon SageMaker Processing jobs.
- CCreate an IAM role that has permissions to create Amazon SageMaker Processing jobs and to
- DCreate an IAM role that has permissions to create Amazon SageMaker Processing jobs.
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