Explain the role of notebook libraries in a Delta Live Tables pipeline. How do these libraries contribute to the transformation and processing of data within the pipeline, and what are the implications of not including them?

Simulated

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

5.4%

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

85.1%

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

2.4%

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

7.0%

Databricks Certified Data Engineer - Associate