Suggested Answer:A🗳️
Scenario: Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant. Labeling: You can apply sensitivity-classification labels persistently to columns by using new metadata attributes that have been added to the SQL Server database engine. This metadata can then be used for advanced, sensitivity-based auditing and protection scenarios. Incorrect Answers: D: Transparent Data Encryption (TDE) encrypts SQL Server, Azure SQL Database, and Azure Synapse Analytics data files, known as encrypting data at rest. TDE does not provide encryption across communication channels. Reference: https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview https://docs.microsoft.com/en-us/azure/sql-database/sql-database-security-overview
https://azure.microsoft.com/en-ca/updates/column-level-security-is-now-supported-in-azure-sql-data-warehouse/
You can use CLS to manage user access to specific columns in your tables in a simpler manner, without having to redesign your data warehouse. CLS eliminates the need to maintain access restriction logic away from the data in another application or introduce views for filtering out sensitive columns for a subset of users.
Data Discovery & Classification provides basic capabilities for discovering, classifying, labeling, and reporting the sensitive data in your databases.
I don't see words protect, encrypt...
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