Databricks Certified Data Engineer - Professional
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In the context of Azure Databricks, what advanced rollback strategy is most effective for minimizing downtime and ensuring data integrity during a failed deployment in a complex data transformation pipeline?
In the context of Azure Databricks, what advanced rollback strategy is most effective for minimizing downtime and ensuring data integrity during a failed deployment in a complex data transformation pipeline?
Real Exam
A
Maintaining shadow environments in parallel, switching traffic to the backup environment in case of deployment issues, and synchronizing state post-rollback
12.5%
B
Creating immutable snapshots of the entire Databricks workspace, allowing for instant reversion to a pre-deployment state in case of critical failures
6.3%
C
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