Google Data Analytics Professional Certification Practice Test

What does data validation check for?

1. The design of a database

2. The accuracy and quality of data

3. The efficiency of data processing

4. The reliability of data sources

The correct answer is: The accuracy and quality of data

Data validation primarily focuses on checking the accuracy and quality of data to ensure that it meets certain criteria before it is processed or analyzed. This process involves confirming that the data entered is correct, complete, and appropriately formatted, which helps prevent errors and maintain the integrity of datasets. By validating data, organizations can enhance the trustworthiness of their analyses and decisions. While the other options provide important aspects of data management, they do not specifically address the core function of data validation. For example, the design of a database relates to how data is structured rather than its quality. Efficiency of data processing pertains to how data is managed and manipulated in terms of performance but does not indicate whether the data itself is reliable. The reliability of data sources is about where the data originates and its dependability, not about the data’s immediate accuracy or quality. Thus, the focus on accuracy and quality distinctly identifies the primary purpose of data validation.