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Databricks Certified Data Engineer Professional · Databricks
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- Dropping invalid rows lets the pipeline continue publishing clean data while enforcing the rule at write time. A full pipeline failure may be appropriate for critical constraints, but it does not match the requirement to keep valid rows flowing.