The appropriate feature to use to prevent a group of users from reading user email addresses from dbo.Users in an Azure Synapse Analytics dedicated SQL pool is option A, column-level security.
Option B, row-level security (RLS), is used to filter rows in a table based on the user executing a query, but it cannot prevent certain columns from being read by a group of users.
Option C, Transparent Data Encryption (TDE), encrypts data at rest and does not prevent a group of users from reading specific columns in a table.
Option D, dynamic data masking, is used to mask sensitive data in query results, but it does not prevent a group of users from reading the actual values in a column.
Therefore, option A, column-level security, is the most appropriate feature to use to prevent a group of users from reading user email addresses from dbo.Users in an Azure Synapse Analytics dedicated SQL pool. Column-level security can be used to deny read access to specific columns in a table based on a user or group's permissions.
I guess i missed reading about it, but how do you implement column-level security? If via view, folks still have access to the underlying table. Let me know.
A is correct. Column-level security simplifies the design and coding of security in your application, allowing you to restrict column access to protect sensitive data. For example, ensuring that specific users can access only certain columns of a table pertinent to their department.
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