Exam SY0-601 topic 1 question 7 discussion

Data classification and typing schemas tag data assets so that they can be managed through the information life cycle. A data classification schema is a decision tree for applying one or more tags or labels to each data asset. Many data classification schemas are based on the degree of confidentiality required: Public (unclassified)—there are no restrictions on viewing the data. Public information presents no risk to an organization if it is disclosed but does present a risk if it is modified or not available. Confidential (secret)—the information is highly sensitive, for viewing only by approved persons within the owner organization, and possibly by trusted third parties under NDA. Critical (top secret)—the information is too valuable to allow any risk of its capture. Viewing is severely restricted.

Classify the data. permit to DLP distinguish the types of data, with intended to apply different rules depending on the classification.

To accomplish the goal of assigning different DLP rules based on the type of data hosted on the file server, the company should classify the data. Data classification involves categorizing and labeling data based on its sensitivity, importance, and regulatory requirements. By classifying the data, the company can assign specific DLP rules and policies to each classification category. By classifying the data, the company can effectively differentiate between PII, financial information, and health information stored on the file server. This allows for the implementation of tailored DLP rules and policies that are appropriate for each type of data. For example, stricter DLP rules might be applied to PII compared to less sensitive financial information.

Data classification is the process of categorizing data based on its sensitivity, value, and regulatory requirements. By classifying the data on the file server, the company can identify and label different types of data such as PII, financial information, and health information. Each category can then be associated with specific DLP rules that are appropriate for the sensitivity and requirements of that type of data. For example, the company can create DLP rules that trigger alerts or prevent certain actions (such as copying or emailing) when sensitive data, like PII or health information, is detected being accessed or transmitted outside of authorized channels. Different rules can be applied to financial data based on its specific requirements.

A. Classify the Data: By classifying the data, the different DLP rules can be applied. ---- B. Mask the data: Making the data involves obscuring specific data (like password, or credit card number) *****1235 or ****** C. Assign the application owner: not relate to DLP, just put someone is in charge of this application D. Perform a risk analysis: Of course, not relate to DLP.

Classifying the data involves categorizing and labeling the data based on its sensitivity and criticality. By classifying the data, the company can identify which files contain PII (Personally Identifiable Information), financial information, health information, or other sensitive data. Each category of data can then be assigned different Data Loss Prevention (DLP) rules and security controls based on its classification. For example, files containing PII might have stricter DLP rules to prevent unauthorized access or data leakage, while files with less sensitive information may have less stringent restrictions. This approach allows the company to tailor the DLP policies according to the data's specific requirements and compliance needs.

no brainer

As Option A is the best becuase, to classify the data to make different policies in DLP

Classifying the data allows for several rules to be applied for protection.

A. Classify that ish

Classify the data

You first perform a risk analysis before classifying data

Data Classification. A

A. Classify the data. Once the data has been classified, the company can apply different DLP rules to different categories of data, based on the sensitivity and importance of the data. For example, files containing PII might require stricter controls, while financial information might be subject to different types of restrictions.

Its going to be A - Data classification is the process an organization follows to develop an understanding of its information assets, assign a value to those assets, and determine the effort and cost required to properly secure the most critical of those information assets.

Classify data is no 1 before you proceed to the step