Databricks Data Engineer Associate Question 479
Select 2A data engineering team is setting up their Databricks environment and is discussing the differences between metastores and catalogs. Which of the following statements accurately describe the relationship between metastores and catalogs in Databricks?
- A
A metastore is a top-level container that can house multiple catalogs.
- B
A catalog is used to organize databases, tables, and views within a metastore.
- C
Each catalog is independent and does not rely on the metastore for metadata management.
- D
A single Databricks workspace can be associated with multiple metastores.
- E
Metastores and catalogs serve the same purpose and are interchangeable in Databricks.
Show answer and explanation
Correct answers: A, B
Explanation
In Databricks, the metastore is the top-level metadata storage layer that organizes and manages metadata for all data assets such as catalogs, databases, and tables. Within a metastore, catalogs provide an additional layer of organization by grouping related databases, tables, and views. While catalogs rely on the metastore for metadata, the two serve different purposes and are not interchangeable.
- A. Correct.
Correct: A metastore acts as the top-level container and can contain multiple catalogs to organize data assets.
- B. Correct.
Correct: A catalog is a logical grouping within a metastore and is used to organize databases, tables, and views.
- C. Incorrect.
Incorrect: Catalogs rely on the metastore for metadata management, as the metastore is the overarching metadata storage system.
- D. Incorrect.
Incorrect: While a Databricks workspace can be associated with one metastore at a time, it cannot be associated with multiple metastores simultaneously.
- E. Incorrect.
Incorrect: Metastores and catalogs serve distinct purposes, with the metastore being the overarching metadata store and catalogs providing further segmentation within it.