In a Delta Live Tables pipeline, explain the role of notebook libraries and how they contribute to the data processing workflow. Provide a detailed explanation of their function within the pipeline.

Simulated

Notebook libraries are used for defining the source data locations and the target schema.

5.8%

Notebook libraries contain the transformation logic and data processing steps that are applied to the data as it flows through the pipeline.

86.1%

Notebook libraries are used solely for data visualization and reporting purposes.

1.7%

Notebook libraries are optional components that can be used for additional data validation checks.

6.4%

Databricks Certified Data Engineer - Associate