Difficulty: Easy

Average Score: 93%

What is the definition of consistency in the context of data integrity?

Rationale

The degree to which a set of measures can be applied equivalently across systems.

In the context of data integrity, consistency ensures that data remains uniform and reliable across different systems and contexts, allowing for accurate comparisons and analyses. This principle is crucial for maintaining the integrity of data as it is processed or transferred between various platforms.

A (The degree a measure conforms to a standard or true value) YOUR ANSWER

This choice refers to accuracy, which is the extent to which a measure reflects the true value or standard. While accuracy is important for data integrity, it does not specifically address the uniform application of measures across different systems, which is what consistency entails.

B (The degree to which all necessary measures are known) YOUR ANSWER

This choice focuses on completeness, which is the comprehension of having all required data measures available. Although completeness is vital for effective data management, it does not relate directly to how those measures are consistently applied across various systems, which is the essence of consistency.

D (The degree to which measures conform to defined business rules) YOUR ANSWER

This choice highlights compliance with business rules, which ensures that data adheres to predetermined regulations or standards. While this adherence is crucial for data governance, it does not encompass the broader concept of consistency, which is about the uniform application of measures across different environments.

Conclusion

Consistency in data integrity refers to the application of measures in a uniform manner across various systems, ensuring that data remains reliable and comparable. While accuracy, completeness, and compliance with business rules are all important aspects of data management, they do not capture the essence of consistency, which is fundamental for achieving trustworthy data across diverse contexts.

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