Databricks Certified Data Engineer - Associate
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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:
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:
Explanation:
The correct answer is D. The RESTORE command in Delta Lake is specifically designed to roll back a table to a previous version by specifying the version number. This feature is particularly useful in scenarios where data integrity is compromised due to errors in data processing. By reverting to a version before the error occurred, the team can ensure data consistency and minimize downtime, as it avoids the need for manual data correction and reprocessing. This approach is efficient and maintains the table's integrity by leveraging Delta Lake's versioning capabilities.