Question
A financial company wants to implement a data mesh. The data mesh must support centralized data governance, data analysis, and data access control. The company has decided to use 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. Correct
- 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. Correct
Explanation
The correct combination of services to implement a data mesh supporting centralized data governance, data analysis, and data access control is using Amazon S3 for data storage and Amazon Athena for data analysis (Option B), alongside AWS Lake Formation for centralized data governance and access control (Option E). This aligns with AWS recommendations for building scalable and secure data architectures.
