AWS Certified Data Engineer - Associate DEA-C01 — Topic 1 Question 260

Question

A company needs to implement a data mesh architecture in which domains for trading, risk, and compliance teams each have own their data. The teams need to share specific views with one another. The teams have over 1,000 tables across 50 databases in AWS Glue Data Catalog. All three teams use Amazon Athena to perform on-demand analysis. The teams use Amazon Redshift to generate complex reports. The compliance team must audit all data access. Access to personally identifiable information (PII) data must be restricted. The company requires a scalable solution to meet the team requirements. The solution must provide the ability to perform analysis across team domains. Which solution will meet these requirements?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Create views in Athena for on-demand analysis. Use the Athena views in Amazon Redshift to perform cross-domain analytics. Use AWS CloudTrail to audit data access. Use AWS Lake Formation to establish fine-grained acces... Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. Amazon Athena runs serverless SQL queries directly on data in Amazon S3 with no infrastructure to manage. AWS Lake Formation builds and secures data lakes quickly.

AWS Certified Data Engineer - Associate DEA-C01 — Question 260