What are three methods of data validation used in Pega?

The correct choice highlights essential methods of data validation in Pega, which are critical for maintaining data integrity and accuracy within applications.

Property types determine the kind of data that can be stored, such as text, numbers, or dates, and they enforce type constraints on the values entered. For instance, if a property is designated as a date type, the system will validate that any input conforms to a date format.

Controls refer to user interface elements that guide users in entering data correctly. They often include input masks or dropdowns which limit the potential entries, reducing the risk of invalid data entry.

Validation rules serve as a mechanism to ensure that data meets specific criteria before it is accepted by the system. These rules can include checks for required fields, permissible ranges, or unique constraints, enabling Pega to catch errors and enforce data quality standards during data entry.

The other options list elements that either do not directly contribute to data validation or are not recognized methods within Pega’s framework for verifying data accuracy. For instance, user preferences and workflow rules pertain to user configurations and process logic respectively, while formulas and UI flows are more aligned with application design and user interaction rather than data validation itself.