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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: Insert data from shops and perform the data corruption check in a transaction. Rollback transfer if corruption is detected.
Does the solution meet the goal?

A. Yes

B. No












 

Suggested Answer: B

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

This question is in DP-201 Designing an Azure Data Solution Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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