In the context of a data pipeline utilizing Delta Lake for incremental data processing, a scenario arises where a batch of data was incorrectly processed due to a logic error in the transformation code. This error has propagated through several subsequent batches, affecting the integrity of the table. The team needs to revert the table to a state before the error was introduced to correct the data. Considering the need for minimal downtime and ensuring data consistency, which of the following commands in Delta Lake would be the most appropriate to use, and why? Choose the best option from the following: | Databricks Certified Data Engineer - Associate Quiz