A company is establishing a data handling policy. What is the data governance practice of dividing data by sensitivity (public, internal, confidential, and so on), labeling it, and changing the handling rules accordingly called?

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Select an answer
CorrectA

Explanation

Select the practice of dividing and labeling data by sensitivity.

  • 1dividing data by sensitivity (public, internal, confidential, and so on)Divide data by sensitivity
  • 2labeling it, and changing the handling rulesHandling by division = data classification
ACorrect

Data classification

This is correct. Data classification is a data governance practice that divides data by sensitivity, labels it, and changes protection and access handling by sensitivity level.

BIncorrect

Data cataloging

Data cataloging is the practice of organizing metadata such as location and schema to make data easier to discover.

It is not division by sensitivity and rule differentiation, so it is incorrect.

CIncorrect

Data lineage (provenance)

Data lineage is a concept that tracks the origin and transformation history of data.

It is not division by sensitivity and labeling, so it is incorrect.

DIncorrect

Data masking

Data masking is a processing technique that protects confidential values by replacing them with redacted forms. For example, it displays a credit card number '4111 1111 1111 1234' as '** 1234,' a name 'John Smith' as 'J S,' or an email address 'taro@example.com' as 't*@example.com,' hiding part of the value so it can be used without exposing the original.

It is a means of protection, not the framework itself that divides data by sensitivity and defines rules, so it is incorrect.

Key Takeaway

Remember the correct answer, 'data classification.'
- The practice of dividing data by sensitivity (public, internal, confidential, and so on) and applying labels.
- Handling rules such as encryption and access control are changed according to the label, achieving appropriate protection and governance.