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Answer: Use Amazon S3 for data storage. Use Amazon Athena for data analysis., Use AWS Lake Formation for centralized data governance and access control.
Option B is CORRECT because using Amazon S3 for data storage and Amazon Athena for data analysis fits well with the data mesh architecture. Amazon S3 provides a scalable and cost-effective storage solution, while Amazon Athena allows for serverless querying of data stored in S3 without needing to set up a database or data warehouse infrastructure. Option E is CORRECT because AWS Lake Formation provides centralized data governance and access control, which are critical components of a data mesh. Lake Formation simplifies the process of setting up, securing, and managing data lakes, allowing for granular access control and ensuring that governance policies are enforced consistently across the organization.
Author: Ritesh Yadav
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Question 2/60
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? (Select 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.
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