MLA-C01 · Question #185
A company needs to ingest data from data sources into Amazon SageMaker Data Wrangler. The data sources are Amazon S3, Amazon Redshift, and Snowflake. The ingested data must always be up to date with…
The correct answer is B. Use cataloged connections to import data from the data sources into Data Wrangler. Cataloged connections in SageMaker Data Wrangler integrate with the AWS Glue Data Catalog to connect to Amazon S3, Amazon Redshift, and Snowflake. These managed connections ensure Data Wrangler always reads the latest data from the source systems without manual refresh logic…
Question
A company needs to ingest data from data sources into Amazon SageMaker Data Wrangler. The data sources are Amazon S3, Amazon Redshift, and Snowflake. The ingested data must always be up to date with the latest changes in the source systems. Which solution will meet these requirements?
Options
- AUse direct connections to import data from the data sources into Data Wrangler.
- BUse cataloged connections to import data from the data sources into Data Wrangler.
- CUse AWS Glue to extract data from the data sources. Use AWS Glue also to import the data
- DUse AWS Lambda to extract data from the data sources. Use Lambda also to import the data
How the community answered
(15 responses)- A7% (1)
- B73% (11)
- C7% (1)
- D13% (2)
Explanation
Cataloged connections in SageMaker Data Wrangler integrate with the AWS Glue Data Catalog to connect to Amazon S3, Amazon Redshift, and Snowflake. These managed connections ensure Data Wrangler always reads the latest data from the source systems without manual refresh logic, providing up-to-date data with minimal operational effort.
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