DA0-001 · Question #552
A health care data analyst is reviewing a data set containing patient blood pressure measurements taken over the past year. The analyst notices that some of the values for blood pressure seem…
The correct answer is A. Data accuracy. Unusually high blood pressure values point to possible errors or outliers, making accuracy the key data quality dimension to ensure the recorded values correctly reflect real measurements.
Question
A health care data analyst is reviewing a data set containing patient blood pressure measurements taken over the past year. The analyst notices that some of the values for blood pressure seem unusually high, which might indicate data entry errors or outliers. Which of the following data quality dimensions should be the primary focus to address this issue?
Options
- AData accuracy
- BData integrity
- CData completeness
- DData consistency
How the community answered
(34 responses)- A74% (25)
- B9% (3)
- C3% (1)
- D15% (5)
Explanation
Unusually high blood pressure values point to possible errors or outliers, making accuracy the key data quality dimension to ensure the recorded values correctly reflect real measurements.
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