In which scenario would you use a data transform?

Using a data transform is particularly appropriate for setting default values when creating a case. Data transforms are designed to manipulate and transition data within Pega. They can be employed to initialize properties of a case with predetermined values, which is especially useful when you want specific fields to have default inputs based on the context or the requirements of the case.

In scenarios where new cases are initiated, leveraging data transforms allows you to automate the population of these values, ensuring consistency and efficiency in case handling. This capability aligns seamlessly with the creation process, improving both user experience and data integrity within the application.

Other scenarios do not reflect the primary purpose of a data transform. For instance, executing a flow action pertains more to the orchestration of process flow rather than direct data manipulation. Deleting existing case properties usually requires a different approach, such as modifying the case type layout or engaging in a specific configuration, and changing case type definitions involves design-level changes that do not typically use data transforms for property adjustments.