Informatica Cloud's Data Validation can incorporate which type of logical checks?

The correct choice highlights an essential aspect of data validation in Informatica Cloud. Data consistency checks are critical for ensuring that the data conforms to predefined rules, standards, and expectations across various fields or datasets. These checks are designed to identify discrepancies, such as duplicates, missing values, or incorrect data types, which can significantly impact data accuracy and integrity. By implementing data consistency checks, organizations can maintain high-quality data, which is vital for accurate analytics, reporting, and decision-making processes. This type of validation helps ensure that the data remains reliable and usable throughout its lifecycle.

In contrast, the other options, while related to data management, do not pertain specifically to the fundamental aspect of data validation as effectively. Basic arithmetic operations may be involved in calculations or transformations but do not constitute a validation check in themselves. Data visualization checks focus more on graphical representation and insights derived from data rather than validating its correctness or integrity. Text formatting checks, while important for presentation and consistency in string values, do not encompass the broader scope of validation that data consistency checks provide.