Discuss the role of CDF in managing data consistency in a scenario where multiple data sources with varying schemas are being merged. Describe how you would use CDF to handle schema evolution and ensure data consistency in such scenarios, including any necessary code changes to implement this approach.

Simulated

CDF is not useful for managing schema evolution; manual intervention is required.

6.1%

CDF can help manage schema evolution and data consistency by tracking changes and applying them consistently across sources.

89.6%

Schema evolution is not supported in Delta Lake; data must be manually transformed.

0.9%

CDF only handles simple data changes; complex scenarios require custom solutions.

3.5%

Databricks Certified Data Engineer - Professional