Databricks Data Engineer Associate Question 33
Single answerA data engineering team is tasked with creating a cluster in Databricks to process large-scale data using Delta Lake features. They want to ensure the cluster's software version supports the required functionality. How can the team identify the cluster's software version when setting it up?
- A
By selecting a Databricks Runtime version, which includes the software version and pre-installed libraries.
- B
By manually specifying the software version number in the cluster configuration.
- C
By choosing a pre-configured cluster template that automatically determines the software version.
- D
By inspecting the Databricks UI logs after the cluster has been created.
Show answer and explanation
Correct answer: A
Explanation
In Databricks, the software version for a cluster is determined using the Databricks Runtime. Each runtime version includes a specific set of pre-installed libraries and features, such as support for Delta Lake. This version is selected during the cluster configuration process, making it the correct method to identify the software version.
- A. Correct.
Correct: The Databricks Runtime version determines the cluster's software version and includes pre-installed libraries and features like Delta Lake. This is the appropriate way to identify the version during cluster setup.
- B. Incorrect.
Incorrect: Databricks does not support manually specifying software version numbers. Instead, it uses Databricks Runtime versions to encapsulate the software and libraries.
- C. Incorrect.
Incorrect: Pre-configured cluster templates are not used to determine the software version. They are configurations that may include a pre-selected Databricks Runtime but don’t allow custom software selection.
- D. Incorrect.
Incorrect: The Databricks UI logs provide information about cluster activities but do not help identify the software version during setup.