CCSP · Question #301
You are developing a new process for data discovery for your organization and are charged with ensuring that all applicable data is included. Which of the following is NOT one of the three methods…
The correct answer is D. Classification. Data discovery methods include metadata analysis, content analysis, and the use of labels, while classification is a subsequent step of categorization, not a discovery method.
Question
You are developing a new process for data discovery for your organization and are charged with ensuring that all applicable data is included. Which of the following is NOT one of the three methods of data discovery? Response:
Options
- AMetadata
- BContent analysis
- CLabels
- DClassification
How the community answered
(33 responses)- B3% (1)
- C3% (1)
- D94% (31)
Why each option
Data discovery methods include metadata analysis, content analysis, and the use of labels, while classification is a subsequent step of categorization, not a discovery method.
Metadata analysis is a common data discovery method where attributes about data, such as creation date, author, or file type, are examined to understand and locate relevant information.
Content analysis involves examining the actual data within files or databases to identify patterns, keywords, or sensitive information, making it a direct method of data discovery.
Labels, such as sensitivity tags or retention labels, are used to mark data, making it discoverable and understandable in terms of its characteristics and policies.
Data classification is the act of categorizing data based on its sensitivity, value, or regulatory requirements after it has been identified and analyzed. It is an outcome or a subsequent process, rather than a method for the initial discovery of data itself.
Concept tested: Data discovery methods
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