Which of the following is NOT considered data classification?

Data classification refers to the process of categorizing data based on its level of sensitivity, importance, and the required security measures. This system helps organizations understand how to handle different types of data appropriately.

The first options—Public, Sensitive, and Confidential—are standard categories used in data classification frameworks. Public data can be freely shared without any risk, Sensitive data requires careful handling to protect it from unauthorized access, and Confidential data has a high level of sensitivity and requires strict controls to protect it from exposure.

On the other hand, "Duplicate" does not fit into the traditional categories of data classification. While duplicate data refers to copies of existing data, it does not convey any information about the sensitivity or importance of the information it contains. Classification focuses on the nature of the data itself regarding security and privacy needs, rather than its duplication status. Therefore, identifying something as duplicate does not align with the principles of data classification.