The C answer is correct.From CBK: Discovery and classification: The first stage of DLP is discovery and classification. Discovery is the process of finding all instances of data, while classification is the act of categorizing that data based on its sensitivity and value to the organization. While you should have classified your data as part of your information asset inventory, many DLP tools are capable of applying signature-based logic that determines the classification of data. In many cases, your existing classification information can be used to “tune” the DLP to know what you consider sensitive. Examples of classifications might include “PCI data” (or “cardholder data”), “Social Security numbers,” “PHI,” and so on. Comprehensive discovery and proper classification is critical to the effectiveness of the remaining stages and to the success of your overall DLP implementation.

CBK Page 141 as PeterZhang stated word for word.

…first you need a policy. A policy to say watermark this and that, a policy to say no PII on local machines, etc, whatever policy you want. Then this can enforce that policy

First we need a policy that will tell us how data must be categorized. Data classification is just an existance of structure of classes, without the exact categorization process.

C. Data classification. Data classification involves categorizing and labeling data based on its sensitivity, value, and regulatory requirements. It is a foundational step in a DLP program as it helps organizations understand the types of data they possess, determine their data protection requirements, and prioritize their security efforts accordingly. By classifying data, organizations can identify which data sets are more sensitive or critical and require stricter protection measures. This allows them to focus their resources on implementing appropriate DLP controls and policies to safeguard the classified data effectively. Data classification also aids in streamlining data handling processes, ensuring proper access controls, and facilitating compliance with relevant data protection regulations. Once data is classified, organizations can proceed with subsequent steps in their DLP program, such as policy creation (Option A), information rights management (Option B), and configuration management (Option D), based on the specific needs and goals of their data protection strategy.

C. Data classification. The first step that should be considered in a Data Loss Prevention (DLP) program is data classification. Data classification involves identifying and categorizing data according to its level of sensitivity, value, and importance. This helps to ensure that appropriate security controls and protections are put in place to safeguard the data and prevent it from being lost or stolen. Once data has been classified, the organization can then develop policies and procedures to protect the data based on its classification. Information Rights Management (IRM) and Configuration Management (CM) are both important components of a DLP program, but they come after data classification. In summary, data classification is the foundational step in a DLP program, and it is critical to the success of the program. Without proper data classification, it is difficult to develop effective policies and controls to protect sensitive data from loss or theft.

The answer should be A - A DLP program seeks to improve information security and protect business information from data breaches. It's not just a tool; it's an approach that combines defined processes, well-informed and trained people, and effective technologies.

The question asks about DLP program. A - policy would include most of the other options

Policy is the first step. You can’t just start classifying data without proper strategy and guidelines. Policy will direct you how the data needs to be classified based on business needs.

why it is not B, the 1st thing need to do is identify who shall be the owner of data, then create policy and classify the data.