AWS Certified Data Engineer - Associate DEA-C01Demo

By Amazon · Question Mode

QuestionQ330

Data Security and Governance

A financial company wants to deploy a data mesh. The data mesh must provide centralized data governance, data analysis, and data access control. The company has chosen AWS Glue for data catalogs and extract, transform, and load (ETL) operations.

Which combination of AWS services will implement a data mesh?

Choose two
  • A Use Amazon Aurora for data storage. Use an Amazon Redshift provisioned cluster for data analysis.
  • B Use Amazon S3 for data storage. Use Amazon Athena for data analysis.
  • C Use AWS Glue DataBrew for centralized data governance and access control.
  • D Use Amazon RDS for data storage. Use Amazon EMR for data analysis.
  • E Use AWS Lake Formation for centralized data governance and access control.
Explanation

Amazon S3 provides the data-lake storage layer, and Amazon Athena analyzes data stored in Amazon S3 while integrating with the AWS Glue Data Catalog. AWS Lake Formation centrally governs the data lake and enforces fine-grained permissions for AWS Glue Data Catalog resources and the underlying Amazon S3 data.

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