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A company needs to implement a data mesh architecture for trading, risk, and compliance teams.

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A company needs to implement a data mesh architecture for trading, risk, and compliance teams. Each team has its own data but needs to share views. They have 1,000+ tables in 50 Glue databases. All teams use Athena and Redshift, and compliance requires full auditing and PII access control.

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 access control.

B.

Use AWS Glue Data Catalog views. Use CloudTrail logs and Lake Formation to manage permissions.

C.

Use Lake Formation to set up cross-domain access to tables. Set up fine-grained access controls.

D.

Create materialized views and enable Amazon Redshift datashares for each domain.

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