AWS Certified Machine Learning – Specialty — Question 163

A data engineer is using AWS Glue to create optimized, secure datasets in Amazon S3. The data science team wants the ability to access the ETL scripts directly from Amazon SageMaker notebooks within a VPC. After this setup is complete, the data science team wants the ability to run the AWS Glue job and invoke the
SageMaker training job.
Which combination of steps should the data engineer take to meet these requirements? (Choose three.)

Answer options

• A. Create a SageMaker development endpoint in the data science team's VPC.
• B. Create an AWS Glue development endpoint in the data science team's VPC.
• C. Create SageMaker notebooks by using the AWS Glue development endpoint.
• D. Create SageMaker notebooks by using the SageMaker console.
• E. Attach a decryption policy to the SageMaker notebooks.
• F. Create an IAM policy and an IAM role for the SageMaker notebooks.

Correct answer: B, C, F

Explanation

The correct steps involve setting up an AWS Glue development endpoint in the VPC (B) to enable access to ETL scripts, creating SageMaker notebooks using that endpoint (C) to allow integration, and establishing an IAM policy and role (F) to manage permissions. Options A, D, and E do not directly address the requirement of accessing ETL scripts or managing permissions effectively within the specified setup.