AWS Certified Data Engineer - Associate DEA-C01Demo

By Amazon · Question Mode

QuestionQ364

Data Security and Governance

A company plans to build a business data catalog so users can discover and share data assets using standardized terminology. The company must organize data across multiple AWS services, enable users to add business context to technical metadata, and apply governance controls.

Which solution meets these requirements?

  • A Use AWS Lake Formation to create tag-based access control policies. Use the AWS Glue Data Catalog to store technical metadata about the data sources.
  • B Create a domain by using the Amazon SageMaker Catalog. Define business glossary terms and publish data assets from the AWS Glue Data Catalog to the SageMaker Catalog.
  • C Create AWS Glue crawlers to discover data sources. Use AWS Resource Access Manager (AWS RAM) to share the AWS Glue Data Catalog tables across accounts.
  • D Use Amazon SageMaker Feature Store to catalog machine learning (ML) features. Use Amazon Athena to query the metadata across different data sources.
Explanation

Amazon SageMaker Catalog provides a governed catalog for data assets from AWS services, including assets from the AWS Glue Data Catalog. A SageMaker domain supports business glossaries and metadata curation so users can apply consistent business terms and additional business context to technical metadata. Published assets are discoverable across the domain, and subscription workflows govern access to the underlying data.

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