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You have an Azure SQL database that has columns. The columns contain sensitive Personally Identifiable Information (PII) data.
You need to design a solution that tracks and stores all the queries executed against the PII data. You must be able to review the data in Azure Monitor, and the data must be available for at least 45 days.
Solution: You create a SELECT trigger on the table in SQL Database that writes the query to a new table in the database, and then executes a stored procedure that looks up the column classifications and joins to the query text.
Does this meet the goal?

A. Yes

B. No












 

Suggested Answer: B

Instead add classifications to the columns that contain sensitive data and turn on Auditing.
Note: Auditing has been enhanced to log sensitivity classifications or labels of the actual data that were returned by the query. This would enable you to gain insights on who is accessing sensitive data.
Reference:
https://azure.microsoft.com/en-us/blog/announcing-public-preview-of-data-discovery-classification-for-microsoft-azure-sql-data-warehouse/

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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