Questão 9 — Simulado AWS Certified Data Engineer – Associate (DEA-C01) | Questões Atualizadas
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.
Resposta correta:
A
Explicação
Explanation: A data mesh approach in AWS typically uses Lake Formation for domain-level access control and Athena for cross-domain querying through federated views. CloudTrail ensures auditing. "For data mesh architectures, use AWS Lake Formation for fine-grained access control and Athena views for cross-domain analysis. Enable CloudTrail to audit access." Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This ensures scalability, security, and compliance across domains.
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