How can you efficiently manage schema evolution for a historical dataset in a lakehouse without disrupting existing queries or analytics workloads?

Real Exam

Store schema definitions externally and apply transformations at query time to match the expected schema, regardless of stored data format.

5.6%

Create a new version of the dataset with each schema change, maintaining all versions for backward compatibility.

13.9%

Use Delta Lake‘s schema evolution features, adding new columns and evolving schema in a backward-compatible manner.

62.5%

Implement schema-on-read, allowing applications to adapt to schema changes dynamically without altering the stored data.

18.1%

Databricks Certified Data Engineer - Professional