After a recent deployment, a critical data pipeline in Databricks starts showing unexpected behavior, affecting downstream analytics. What is the best strategy to quickly revert the deployment to its previous stable state?

Real Exam

Implement a blue/green deployment strategy in Databricks, allowing quick switch-over to a pre-deployment state if issues are detected.

19.2%

Rely on Databricks workspace snapshots for quick restoration to a point-in-time before the deployment.

10.1%

Manually revert changes by redeploying the previous version of the notebook from a backup.

16.2%

Utilize the Databricks REST API to programmatically revert the deployed notebooks to a previous commit known to be stable.

54.5%

Databricks Certified Data Engineer - Professional