A Bronze to Silver pipeline needs data quality rules that drop invalid rows yet record metrics for monitoring. Stakeholders want declarative checks and managed lineage without hand‑coding UDF logic. What should you choose?
1Times asked
May 2026Last seen
May 2026First seen
💡 Model Answer
Use Delta Live Tables (DLT) with EXPECT clauses, such as expect_or_drop, and rely on the DLT event log for metrics. DLT lets you declare data quality rules in a simple DSL, automatically drops rows that fail the check, and captures lineage and performance metrics in the event log. This eliminates the need for custom UDFs and provides a managed, auditable pipeline.
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