A team of data engineer are adding tables to a DLT pipeline that contain repetitive...

Databricks Databricks-Certified-Professional-Data-Engineer Question Answer

A team of data engineer are adding tables to a DLT pipeline that contain repetitive expectations for many of the same data quality checks.

One member of the team suggests reusing these data quality rules across all tables defined for this pipeline.

What approach would allow them to do this?

Maintain data quality rules in a Delta table outside of this pipeline’s target schema, providing the schema name as a pipeline parameter.

Use global Python variables to make expectations visible across DLT notebooks included in the same pipeline.

Add data quality constraints to tables in this pipeline using an external job with access to pipeline configuration files.

Maintain data quality rules in a separate Databricks notebook that each DLT notebook of file.

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