Which decision configuration allows for implementation of If-Then-Else logic?

The decision configuration that allows for the implementation of If-Then-Else logic is the use of decision trees. Decision trees visually represent decisions and their possible consequences, making them particularly effective for applying conditional logic in a hierarchical format. Each "branch" in the tree represents a decision point, and you can define various outcomes based on the conditions that evaluate to true or false.

This structure allows developers to manage complex rules more intuitively compared to other configurations, as it provides a clear visual pathway outlining how different "If" conditions lead to different "Then" outcomes. The flexibility and clarity of decision trees make them a valuable tool in Pega for determining the flow of logic in decision-making processes.

On the other hand, while decision tables are useful for handling multiple conditions and allowing for a compact representation of logic, they do not inherently represent the branching nature of If-Then-Else statements as effectively as decision trees do. When rules also offer a way to evaluate conditions but are more suited for simpler "when" logic rather than detailed "if-then" branching. Data pages serve a different purpose entirely, as they are used to retrieve and manage data, rather than making decisions based on conditional logic.