In a lakehouse architecture built on Databricks with Delta Lake, your team is looking to implement data lineage tracking to assess the impact of changes on data structures and pipelines. Which method would you choose to effectively track and visualize data lineage across your lakehouse?

Real Exam

Implement custom logging within your data pipelines to record data movements and transformations, analyzing logs with Azure Log Analytics.

3.2%

Leverage Azure Purview for automated data lineage collection across your Databricks and Delta Lake environments, integrating with other Azure data services.

25.3%

Manually document data flows and transformations in a shared document as part of the development process.

2.1%

Utilize Databricks Unity Catalog, which provides data lineage capabilities for tracking dataset dependencies and transformations.

69.5%

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In a lakehouse architecture built on Databricks with Delta Lake, your team is looking to implement data lineage tracking to assess the impact of changes on data structures and pipelines. Which method would you choose to effectively track and visualize data lineage across your lakehouse?