AWS Certified Data Engineer – Associate (DEA-C01) — Question 1

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.)

Answer options

• 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.

Correct answer: B, E

Explanation

The correct answers are B and E because Amazon S3 provides scalable storage, and Amazon Athena allows for serverless data analysis. AWS Lake Formation enhances centralized governance and access control, making it suitable for a data mesh. Options A, C, and D do not effectively fulfill both requirements for storage and governance, hence they are incorrect.