Which of the following is a prerequisite for a DLP solution?

Data classification is a prerequisite for a Data Loss Prevention (DLP) solution because DLP relies on knowing what data is sensitive to effectively monitor and protect it. Without classification, the DLP system cannot differentiate between confidential information that needs protection and public information that does not. This would lead to either over-blocking legitimate traffic (false positives) or failing to protect critical data (false negatives). Data destruction and data sanitization are methods for securely removing data, not prerequisites for preventing its loss. Data masking is a technique to obscure sensitive data, often used after classification, but not a prerequisite for the DLP system itself to function.