What is specified by the data analyst when exporting a predictive model?

When exporting a predictive model, the critical element specified by the data analyst is the name of the rule and the "Applies To" class. This is essential because the rule name identifies the specific model being exported, and the "Applies To" class indicates the context in which the model will be applied. This information ensures that the model can be correctly utilized within the appropriate framework of the Pega platform, facilitating proper integration and functioning in decision-making processes.

In contrast, while the destination for data export, security protocols, and exporting software version could be relevant in broader data management and transfer contexts, they do not specifically pertain to the immediate requirements of exporting a predictive model within the Pega ecosystem. The focus during a model export is primarily on the model's identity and applicability to ensure clarity and reliability in its use.