What are the two types of models supported by the Predictive Analytics Director?

The correct answer signifies that the Predictive Analytics Director supports Scoring Models and Spectrum Models. Scoring Models are used to assign a score to entities based on their likelihood of achieving a certain outcome, which is fundamental in various decisioning scenarios. This could include processes like risk assessment or customer segmentation, where different scores can guide different actions or strategies.

Spectrum Models, on the other hand, focus on categorizing or classifying data points along a spectrum, allowing for a nuanced analysis that captures more detailed distinctions between behaviors or trends rather than forcing entities into binary categories. This approach enables businesses to understand their data more thoroughly and make informed decisions based on the gradient of values rather than discrete groupings.

The other choices, while they include valid types of models used in predictive analytics generally, do not specifically refer to the models supported by the Predictive Analytics Director. This definitive set allows users to leverage specific methodologies that are optimized for the Pega environment, ensuring that users can effectively build and implement actionable insights through the software.