What are collections in Pega primarily used for?

Collections in Pega are primarily used for processing sets of related data objects. This is because collections allow developers to work with groups of data effectively, enabling batch operations, iterative processing, and managing lists of items that share a common relationship or attribute. For instance, a collection can represent a list of cases or customer records, making it easier to manipulate, filter, or aggregate those objects.

Using collections not only enhances the organization of data within applications but also supports operations that require consistency across multiple data instances. This is especially useful for scenarios where actions need to be applied to all items in a collection, such as updating a status for multiple cases or generating reports based on a set of data.

The other options, while relevant to data handling in Pega, do not capture the primary purpose of collections. Data validation typically involves checking the integrity or format of individual data pieces. Storing individual data objects refers to single instances of data rather than groups. Creating user interfaces encompasses a broader scope of design rather than the specific grouping and processing of data that collections facilitate.