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In your batch processing solution, you need to implement a mechanism to revert data to a previous state in case of data corruption or other issues. How would you implement this functionality?
A
Use Azure Data Factory's data flow activities to process the data and store intermediate results in Azure Blob Storage, allowing for data recovery in case of issues.
B
Use Azure Databricks to process the data and leverage Delta Lake's versioning capabilities to revert data to a previous state.
C
Use Azure SQL Database to store the processed data and implement transaction logging to revert data to a previous state.
D
Use Azure Cosmos DB to store the processed data and implement custom backup and restore mechanisms to revert data to a previous state.
