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Question 139 - DA0-001 discussion

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A data analyst has a set with more than 40.000 rows in the sample schema below:

The analyst would like to create one column that contains the customers' birth dates. Which of the following data quality dimensions would BEST explain the reason for compilation?

A.
Data accuracy
Answers
A.
Data accuracy
B.
Data completeness
Answers
B.
Data completeness
C.
Data duplication
Answers
C.
Data duplication
D.
Data integrity
Answers
D.
Data integrity
Suggested answer: D

Explanation:

Data integrity is the dimension that measures the consistency and validity of data across different data sources. In this case, the data analyst wants to create one column that contains the customers' birth dates, but the data is stored in different formats and locations in the sample schema. For example, some customers have their birth dates in the customer table, while others have their birth years in the sales table. To compile the data into one column, the data analyst needs to ensure that the data is consistent and valid across the tables. Therefore, data integrity is the best explanation for the reason for compilation. Reference: Data Quality Dimensions - DATAVERSITY, The 6 Data Quality Dimensions with Examples | Collibra

asked 02/10/2024
Rio Ordonez
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