Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 34 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 34

Single answer

A data engineering team is tasked with creating a new cluster on Databricks to run ETL jobs. The team wants to ensure that the cluster uses a specific version of Databricks Runtime (DBR) to leverage the latest performance optimizations and features. How can the team identify the versioning system of the Databricks Runtime?

  1. A

    Databricks Runtime versions are identified by a major version, minor version, and an optional patch version (e.g., 12.2 LTS).

  2. B

    Databricks Runtime versions are identified by a timestamp indicating when the runtime was released (e.g., 2023.10.15).

  3. C

    Databricks Runtime versions are identified by a semantic versioning system similar to MAJOR.MINOR.PATCH (e.g., 3.1.0).

  4. D

    Databricks Runtime versions are identified by the Spark version they are built on (e.g., Spark 3.3.2).

Show answer and explanation

Correct answer: A

Explanation

Databricks Runtime versions are identified using a major.minor[.patch] versioning system. This structure may also include additional labels such as LTS (Long Term Support). For example, a runtime like '12.2 LTS' specifies the major version (12), minor version (2), and indicates long-term support. Understanding this system is vital for selecting the appropriate runtime version for clusters.

  • A. Correct.

    Correct. Databricks Runtime versions follow a major version, minor version, and optional patch version system and may include labels such as LTS (Long Term Support). For example, '12.2 LTS' identifies a specific version.

  • B. Incorrect.

    Incorrect. Databricks Runtime versions are not identified by timestamps but by version numbers like '12.2 LTS'.

  • C. Incorrect.

    Incorrect. While the versioning may seem similar to semantic versioning, Databricks Runtime uses a specific structure of major.minor (e.g., 12.2), not semantic versioning with full MAJOR.MINOR.PATCH detail.

  • D. Incorrect.

    Incorrect. Although Databricks Runtime versions are built on specific Spark versions, they are not identified solely by the Spark version.

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