Databricks Data Engineer Associate Question 368
Select 2You are designing a data pipeline in Databricks using Delta Live Tables (DLT). As part of the pipeline configuration, you need to specify a target and include notebook libraries. What is the purpose of these components in the pipeline?
- A
The target defines the location where the transformed data will be stored.
- B
Notebook libraries are used to store metadata about the pipeline's execution logs.
- C
The target specifies the cluster where the pipeline will run.
- D
Notebook libraries enable the reuse of custom logic or functions across the pipeline.
- E
The target is used to configure access permissions for the data sources.
Show answer and explanation
Correct answers: A, D
Explanation
The target in a Delta Live Tables pipeline is used to define where the final transformed data will be stored, such as a database or a directory. This ensures that the pipeline writes its outputs to the correct location. Notebook libraries, on the other hand, allow the inclusion of reusable code or custom logic, enabling modular and maintainable pipeline designs. Together, these components help in building robust and scalable pipelines.
- A. Correct.
Correct. The target in a Delta Live Tables pipeline specifies the storage location (e.g., a database or directory) where the final transformed data will be written.
- B. Incorrect.
Incorrect. Notebook libraries are not used for storing metadata about execution logs. Metadata about the pipeline's execution is automatically handled by the Delta Live Tables framework.
- C. Incorrect.
Incorrect. The target does not specify the cluster where the pipeline runs. Clusters are configured separately as part of the pipeline settings in Databricks.
- D. Correct.
Correct. Notebook libraries allow you to include reusable code, such as custom functions or external libraries, which can be used by multiple stages in the pipeline.
- E. Incorrect.
Incorrect. The target is not directly responsible for configuring access permissions. Permissions are managed at the workspace or data source level.