Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 480 of 532

Databricks Certified Data Engineer Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Associate Question 480

Select 3

In Databricks, how do metastores and catalogs differ in terms of their functionality and scope?

  1. A

    A metastore is a top-level storage container for managing metadata, while a catalog acts as a logical grouping of schemas and tables within a metastore.

  2. B

    Metastores are tied to specific cloud storage systems, while catalogs are used to organize datasets logically within a workspace.

  3. C

    Catalogs are directly responsible for storing metadata such as table definitions, while metastores act as an abstraction layer for accessing metadata.

  4. D

    A single metastore can support multiple catalogs, but each catalog is associated with only one metastore.

  5. E

    Catalogs are specific to the Databricks workspace and cannot span multiple workspaces, whereas metastores can be shared across workspaces.

Show answer and explanation

Correct answers: A, D, E

Explanation

Metastores and catalogs serve distinct purposes in Databricks. Metastores are top-level storage abstractions managing all metadata, including catalogs, schemas, and tables, and can be shared across workspaces. Catalogs, in contrast, serve as logical organizational structures within a metastore, grouping schemas and tables, and are confined to a single workspace. Understanding this distinction is crucial for managing data effectively in Databricks.

  • A. Correct.

    Correct: A metastore is indeed a storage container for metadata, and catalogs provide a way to logically group schemas and tables within that metastore.

  • B. Incorrect.

    Incorrect: While metastores are tied to cloud storage systems, this statement does not correctly distinguish the functionality of catalogs.

  • C. Incorrect.

    Incorrect: Catalogs do not store metadata directly; they provide an organizational structure over the metadata managed by the metastore.

  • D. Correct.

    Correct: A metastore can support multiple catalogs, providing flexibility to organize and manage datasets. Each catalog, however, is tied to one specific metastore.

  • E. Correct.

    Correct: Metastores can span multiple workspaces, enabling data sharing, while catalogs are workspace-specific and cannot cross workspace boundaries.

Timed practice exam

Take a Databricks Data Engineer Associate practice test under exam conditions

45 questions in 90 minutes, drawn from this bank, with a score report and a per-question review when you finish.

Start timed exam