How can you ensure data consistency and integrity across datasets distributed in multiple Azure Databricks workspaces and regions during deployment?

Real Exam

Configuring Azure Logic Apps to automate data consistency validations and integrate with Azure Monitor for alerts on inconsistencies

7.0%

Using Azure Data Factory to orchestrate data movement and employing its data flow debug features for consistency checks

10.5%

Leveraging Delta Lake‘s ACID transaction capabilities within Databricks for cross-workspace and region consistency validation

77.9%

Implementing custom Spark jobs to periodically compare datasets across regions and workspaces, alerting on discrepancies

4.7%

Databricks Certified Data Engineer - Professional