nerdexam
Amazon

MLS-C01 · Question #212

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…

The correct answer is 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. F. Create an IAM policy and an IAM role for the SageMaker notebooks. https://docs.aws.amazon.com/glue/latest/dg/dev-endpoint-tutorial-sage.html

Machine Learning Implementation and Operations

Question

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.)

Options

  • ACreate a SageMaker development endpoint in the data science team's VPC.
  • BCreate an AWS Glue development endpoint in the data science team's VPC.
  • CCreate SageMaker notebooks by using the AWS Glue development endpoint.
  • DCreate SageMaker notebooks by using the SageMaker console.
  • EAttach a decryption policy to the SageMaker notebooks.
  • FCreate an IAM policy and an IAM role for the SageMaker notebooks.

How the community answered

(55 responses)
  • A
    13% (7)
  • B
    78% (43)
  • D
    2% (1)
  • E
    7% (4)

Explanation

https://docs.aws.amazon.com/glue/latest/dg/dev-endpoint-tutorial-sage.html

Topics

#AWS Glue Development Endpoint#Amazon SageMaker Integration#IAM Roles and Policies#AWS Networking (VPC)

Community Discussion

No community discussion yet for this question.

Sign up to join the discussion
Full MLS-C01 Practice