When importing a PMML compliant model, what is a required action? (Choose One)

When importing a PMML (Predictive Model Markup Language) compliant model, mapping model predictors is a vital step because it establishes the connection between the input data fields in your Pega application and the predictor variables defined in the PMML model. This mapping ensures that when the model is executed, it receives the correct inputs that correspond with how the model was trained and validated. Without properly mapping these predictors, the model would not function correctly, as it wouldn't know how to interpret the incoming data in relation to its structure and expectations.

Defining the channel, specifying the type of model, and defining the “Apply to” class may be relevant actions in the overall integration and usage of the model, but they are not strictly required for the successful import and functionality of the PMML model itself. The critical action that directly impacts the execution of the model upon import remains the mapping of model predictors, making it essential for enabling accurate predictions and insights based on the model's design.