Topic 1 Question 28
An ML engineer needs to create data ingestion pipelines and ML model deployment pipelines on AWS. All the raw data is stored in Amazon S3 buckets. Which solution will meet these requirements?
Use Amazon Data Firehose to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.
Use AWS Glue to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.
Use Amazon Redshift ML to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.
Use Amazon Athena to create the data ingestion pipelines. Use an Amazon SageMaker notebook to create the model deployment pipelines.
ユーザの投票
コメント(2)
- 正解だと思う選択肢: B
This is the main use-case for Glue.
👍 1GiorgioGss2024/11/27 - 正解だと思う選択肢: B
Data ingestion - Glue ; Model deployment pipeline - sagemaker studio classic
👍 1Saransundar2024/12/04
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