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You have an Azure SQL database that has masked columns. You need to identify when a user attempts to infer data from the masked columns. What should you use?
Correct Answer: D
Explanation Dynamic Data Masking is designed to simplify application development by limiting data exposure in a set of pre-defined queries used by the application. While Dynamic Data Masking can also be useful to prevent accidental exposure of sensitive data when accessing a production database directly, it is important to note that unprivileged users with ad-hoc query permissions can apply techniques to gain access to the actual data. If there is a need to grant such ad-hoc access, Auditing should be used to monitor all database activity and mitigate this scenario. References: https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
