Databricks Certified Data Engineer - Professional

Databricks Certified Data Engineer - Professional

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When dealing with evolving nested data structures in JSON format within your lakehouse, which strategy ensures efficient schema evolution management while keeping backward compatibility for downstream users?




Explanation:

The versioned Delta Lake approach is optimal for managing schema evolution in nested data structures while ensuring backward compatibility. Delta Lake's ACID transaction support allows for each schema change to be captured as a new version, maintaining compatibility with existing queries. Views abstract the evolving schema's complexity, offering users a consistent interface. This method efficiently handles schema changes, minimizes disruptions, and provides a clear audit trail of schema evolution.