Topic 1 Question 186
3 つ選択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?
Create a SageMaker development endpoint in the data science team's VPC.
Create an AWS Glue development endpoint in the data science team's VPC.
Create SageMaker notebooks by using the AWS Glue development endpoint.
Create SageMaker notebooks by using the SageMaker console.
Attach a decryption policy to the SageMaker notebooks.
Create an IAM policy and an IAM role for the SageMaker notebooks.
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コメント(3)
- 正解だと思う選択肢: BCF
BCF; This tutorial doc says so: https://docs.aws.amazon.com/glue/latest/dg/dev-endpoint-tutorial-sage.html
👍 7spaceexplorer2022/04/30 - 正解だと思う選択肢: BCF
BCF is correct
👍 3tgaos2022/06/08 - 正解だと思う選択肢: BCF
In the AWS Glue console, choose Dev endpoints to navigate to the development endpoints list. Select the check box next to the name of a development endpoint that you want to use, and on the Action menu, choose Create SageMaker notebook. Fill out the Create and configure a notebook page as follows: Enter a notebook name. Under Attach to development endpoint, verify the development endpoint. Create or choose an AWS Identity and Access Management (IAM) role.
👍 2Chelseajcole2023/02/28
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