In the event of data corruption in a Delta Lake table caused by a faulty data ingestion job, how can Delta Lake's time travel feature in Databricks be utilized to pinpoint and revert the table to its pre-corruption state?

Real Exam

Applying the VERSION AS OF option in a Delta table read operation to audit data changes and manually correct the corrupted data

16.7%

Utilizing the DESCRIBE HISTORY command to identify the corrupted version and the RESTORE command to revert to a previous version

68.5%

Implementing a Spark SQL query with the TIMESTAMP AS OF clause to access historical data and identify discrepancies

11.1%

Leveraging MLflow to track data versioning and rollback the Delta table to a stable state before the corruption

3.7%

Databricks Certified Data Engineer - Professional