Databricks Data Engineer Associate Question 478
Select 3In Databricks, how do metastores and catalogs differ in terms of their functionality and scope?
- A
A metastore is a top-level container for managing metadata, while a catalog organizes data within the metastore.
- B
Metastores are specific to a single workspace, while catalogs can span across multiple workspaces when using Unity Catalog.
- C
A catalog is primarily used to store metadata about tables and views, while a metastore stores the actual data files.
- D
Multiple metastores can coexist in a single workspace, but a catalog is unique to a metastore.
- E
Metastores are tied to a cloud provider's storage layer, while catalogs abstract data organization independently of storage.
Show answer and explanation
Correct answers: A, B, D
Explanation
Metastores and catalogs serve different purposes in Databricks. The metastore is the top-level container responsible for metadata management, while catalogs are logical organizational layers within the metastore. Unity Catalog introduces multi-workspace capabilities for catalogs, whereas metastores remain tied to individual workspaces. Understanding their differences helps in designing scalable and governed data architectures in Databricks.
- A. Correct.
Correct: A metastore is the top-level container responsible for managing metadata about tables, views, and other objects, while a catalog is a logical organizational layer within the metastore.
- B. Correct.
Correct: Metastores are typically scoped to a single workspace in Databricks, but catalogs in Unity Catalog can span multiple workspaces to provide unified governance.
- C. Incorrect.
Incorrect: Catalogs do not store metadata about tables and views exclusively; they are part of the logical organization of the metadata managed by the metastore. The metastore does not store actual data files; it handles metadata.
- D. Correct.
Correct: Multiple metastores can exist within a Databricks workspace, particularly in cases where different teams or projects require isolation. However, each catalog is tied to a specific metastore.
- E. Incorrect.
Incorrect: While metastores are tied to a cloud provider's storage layer (e.g., AWS S3, Azure Data Lake), catalogs are not completely independent of storage. They are abstractions within the metastore but still rely on the underlying storage.