DA0-001 · Question #43
An analyst has been asked to validate data quality. Which of the following are the BEST reasons to validate data for quality control purposes? (Choose two.)
The correct answer is B. Integrity D. Consistency. Validating data quality is crucial to ensure data integrity, meaning its accuracy and trustworthiness, and consistency, ensuring uniformity across all data instances.
Question
An analyst has been asked to validate data quality. Which of the following are the BEST reasons to validate data for quality control purposes? (Choose two.)
Options
- ARetention
- BIntegrity
- CTransmission
- DConsistency
- EEncryption
- FDeletion
How the community answered
(26 responses)- B88% (23)
- C4% (1)
- F8% (2)
Why each option
Validating data quality is crucial to ensure data integrity, meaning its accuracy and trustworthiness, and consistency, ensuring uniformity across all data instances.
Data retention policies govern how long data is stored, which is not a direct reason for validating its quality, although quality impacts its value for retention.
Data integrity ensures that data is accurate, complete, and trustworthy, which is a fundamental aspect of data quality validation.
Data transmission refers to moving data between systems, and while quality is important during transmission, transmission itself is not a reason for validation.
Data consistency means that the data is uniform across all systems and instances, preventing contradictions and ensuring reliable analysis, another key goal of quality validation.
Data encryption is a security measure to protect data confidentiality, not a direct reason for validating its inherent quality or accuracy.
Data deletion refers to removing data, which is a lifecycle management aspect, not a primary reason for validating data quality.
Concept tested: Data quality attributes
Source: https://learn.microsoft.com/en-us/azure/architecture/data-guide/data-quality-pillars
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