In the context of implementing data governance within an Azure Databricks workspace, you are evaluating the roles of metastores and catalogs. Your organization requires a solution that not only stores metadata efficiently but also enforces access control and security policies to comply with GDPR. Considering the need for scalability and cost-effectiveness, which of the following statements accurately describes the primary functions of metastores and catalogs in Azure Databricks? Choose the best option.

Simulated

Metastores and catalogs are interchangeable terms in Azure Databricks, both serving the same purpose of metadata storage and access control.

3.0%

Metastores in Azure Databricks are primarily used for storing metadata of data sources, such as tables and schemas, while catalogs are designed to manage access control and security policies, ensuring compliance with data governance standards.

78.8%

Catalogs serve as the sole repository for all metadata in Azure Databricks, eliminating the need for metastores in data governance strategies.

15.1%

Metastores and catalogs have no role in data governance within Azure Databricks, as these functions are managed externally by Azure Active Directory.

3.2%

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