MCB Data Cloud Certification Practice Exam

What is a foundational principle of data integrity within Data Cloud?

1. Minimizing data points for efficiency

2. Maintaining accurate and consistent data

3. Creating separate datasets for each region

4. Using obfuscated data for privacy

The correct answer is: Maintaining accurate and consistent data

Maintaining accurate and consistent data is indeed a foundational principle of data integrity within Data Cloud. Data integrity refers to the accuracy, reliability, and consistency of data throughout its lifecycle. This principle ensures that the data used for analysis, reporting, and decision-making is trustworthy. When data is accurate, it reflects the true characteristics or values it represents, while consistency means that the data remains the same across different datasets or systems over time. This is crucial for ensuring that stakeholders can rely on the information for informed decision-making. In contrast, minimizing data points for efficiency might prioritize performance over completeness, potentially compromising the integrity of the data. Creating separate datasets for each region can lead to fragmentation and inconsistency unless properly managed. Using obfuscated data may enhance privacy but is not inherently related to the accuracy or consistency of the data itself. Thus, maintaining accurate and consistent data directly aligns with the core aims of data integrity.