Databricks Data Engineer Associate Question 372
Select 2You are designing a data pipeline in Databricks using a notebook. You want to configure the pipeline to use specific libraries and define its execution target. Which of the following statements correctly describe the purpose of the target and notebook libraries in this context?
- A
The target specifies the cluster or configuration on which the pipeline tasks will run.
- B
Notebook libraries allow you to include custom Python or Scala libraries specific to the pipeline.
- C
The target defines the storage location where pipeline output data will be written.
- D
Notebook libraries are automatically included and cannot be manually added to a pipeline.
- E
The target is responsible for determining the schema validation for incoming data.
Show answer and explanation
Correct answers: A, B
Explanation
In Databricks, the target defines the environment (cluster or configuration) where the pipeline tasks will execute, while notebook libraries allow users to include custom dependencies such as Python or Scala libraries. This setup ensures that the pipeline has both the necessary compute resources and the required functionality for successful execution.
- A. Correct.
Correct: The target in Databricks specifies the cluster or configuration on which the pipeline tasks will execute, ensuring the pipeline has the necessary compute resources.
- B. Correct.
Correct: Notebook libraries allow users to include custom Python or Scala libraries that are specific to the pipeline's functionality, providing flexibility in handling unique business requirements.
- C. Incorrect.
Incorrect: The storage location for pipeline output data is defined separately and is not the responsibility of the target configuration.
- D. Incorrect.
Incorrect: Notebook libraries can be manually added to a pipeline to include specific dependencies, providing control over the pipeline's functionality.
- E. Incorrect.
Incorrect: The target does not handle schema validation for incoming data. Schema validation is typically configured using other tools or settings in the pipeline.