PEGACPDS88V1 Practice Questions

To unblock the NBA specialist, as a data scientist, you should prioritize creating the predictive model

that drives the prediction.

When developing a predictive model, the outcome value of a continuous model type can

represent the purchase value of an offer.

Adaptive model predictors are selected from the customer profile, which contains information about

the customer’s attributes and behavior. Predictors can be either scalar or aggregate properties that

capture

customer

context,

such

as

channel,

location,

time,

etc.

Reference:

https://academy.pega.com/module/predicting-customer-behavior-using-real-time-dataarchived/topic/configuring-adaptive-models

The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple

channels. This applies to Mobile channels.

The key component of a Next-Best-Action strategy is a strategy, which is a graphical representation of

the business logic that determines which actions to offer to each customer and in what order. A

strategy can use various components, such as business rules, predictive models, filters, prioritizers,

etc., to achieve this goal. Reference: https://academy.pega.com/module/one-one-customerengagement/topic/next-best-action-designer

A text categorization model is a type of text analytics model that can analyze the incoming messages

and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way,

CSRs can focus on negative messages that require immediate attention or escalation. Reference:

https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model

Pega Process AI™ lets you bring your own predictive models to Pega and use predictions in case types

to optimize the way your application processes work and meet your business goals.

To use the outcome of a predictive fraud model in the case type that processes the incoming claim,

you need to use the model outcome in the condition of a decision step2. This way, you can route

suspicious claims to a fraud expert for closer inspection based on the model’s prediction.

The Proposition Distribution report is used to compare the results of two simulations.

In this scenario, the system creates an adaptive model for each case type, such as claim or complaint.

The adaptive model learns from the outcomes of each case type and predicts the probability of case

completion for each customer. Reference: https://academy.pega.com/module/predicting-customerbehavior-using-real-time-data-archived/topic/adaptive-models-case-management

The implementation of Next-Best-Action must involve defining business issue and group hierarchy,

which are used to organize and categorize propositions based on business objectives and customer

needs. Reference: https://academy.pega.com/module/one-one-customer-engagement/topic/nextbest-action-designer