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Answer: Querying the event log for user_action events and flow_definition to audit user actions and understand dataset lineage.
The Delta Live Tables event log is a comprehensive source for pipeline operations, including audit logs and data lineage. By examining the event log for `user_action` events, data engineers can audit actions like pipeline updates and configuration changes. Furthermore, `flow_definition` events reveal dataset lineage, illustrating data flow from inputs to outputs. This approach offers a detailed perspective on audit trails and data lineage, essential for governance, compliance, and comprehending data transformations within DLT pipelines.
Author: LeetQuiz Editorial Team
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How can a data engineer effectively track audit logs and dataset lineage in Delta Live Tables pipelines?
A
By enabling detailed logging at the cluster level and examining system logs.
B
Utilizing the DLT pipeline‘s settings to automatically generate audit logs for review.
C
Reviewing the Delta Lake transaction log for each table to trace back the lineage and audit changes.
D
Querying the event log for user_action events and flow_definition to audit user actions and understand dataset lineage.
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