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A company is developing a solution to manage inventory data for a group of automotive repair shops. The solution will use Azure Synapse Analytics as the data store.
Shops will upload data every 10 days. Data corruption checks must run each time data is uploaded. If corruption is detected, the corrupted data must be removed.
You need to ensure that upload processes and data corruption checks do not impact reporting and
analytics processes that use the data warehouse. Proposed solution: Configure database-level auditing in Azure Synapse Analytics and set retention to 10 days.
Does the solution meet the goal?
A . Yes
B . No
Answer: B
Explanation:
Instead, create a user-defined restore point before data is uploaded. Delete the restore point after data corruption checks complete.
Reference: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/backup-and-restore