DA0-001 · Question #426
An analyst is working with a data set that contains information regarding refugee status, income, identification numbers, place of residence, and employment status. The analyst needs to randomize…
The correct answer is B. Data masking. Data masking replaces sensitive or real data with fictitious but structurally similar placeholders. The goal is to render the data useless to unauthorized parties (e.g., in a breach) while preserving its format and utility for testing, reporting, or analytics. In this scenario…
Question
An analyst is working with a data set that contains information regarding refugee status, income, identification numbers, place of residence, and employment status. The analyst needs to randomize placeholders for all the variables in a data set so that the information is useless in the event of a breach but is still useful in producing the necessary reports. Which of the following functions is the analyst performing?
Options
- AData encoding
- BData masking
- CData recoding
- DData formatting
How the community answered
(28 responses)- A4% (1)
- B89% (25)
- D7% (2)
Explanation
Data masking replaces sensitive or real data with fictitious but structurally similar placeholders. The goal is to render the data useless to unauthorized parties (e.g., in a breach) while preserving its format and utility for testing, reporting, or analytics. In this scenario, refugee status, income, ID numbers, and other PII are substituted with randomized values - the defining characteristic of data masking. Data encoding converts data into a specific format (e.g., Base64), data recoding changes categorical values (e.g., 'Male' → 1), and data formatting adjusts presentation/structure - none of these match the described privacy-preserving substitution.
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