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What method enables a team of data engineers to reuse common data quality expectations across multiple tables in a Delta Live Tables (DLT) pipeline?
What method enables a team of data engineers to reuse common data quality expectations across multiple tables in a Delta Live Tables (DLT) pipeline?
Exam-Like
A
Add data quality constraints to tables in this pipeline using an external job with access to pipeline configuration files.
12.7%
B
Use global Python variables to make expectations visible across DLT notebooks included in the same pipeline.
14.9%
C
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