Pegasystems PEGACPDC74V1 Certified Pega Decisioning Consultant Online Training
Pegasystems PEGACPDC74V1 Online Training
The questions for PEGACPDC74V1 were last updated at Feb 08,2025.
- Exam Code: PEGACPDC74V1
- Exam Name: Certified Pega Decisioning Consultant
- Certification Provider: Pegasystems
- Latest update: Feb 08,2025
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called _______________.
- A . pyPropensity
- B . pyLikelihood
- C . pyProbability
- D . pyBehavior
Two results of an adaptive model are ____________.
- A . Priority and Propensity
- B . Priority and Evidence
- C . Propensity and Performance
- D . Propensity and Rank
Predictive Analytics is a ______________.
- A . real time predictive dashboard
- B . method of visualizing our data
- C . science concerned with finding repeatable patterns in data
- D . query, reporting and a search tool
The mapping of the input fields of a third-party predictive model is done in the ______________.
- A . Predictive Model decision component
- B . Predictive Model rule
- C . Predictive Analytics Director portal
- D . Customer class definition
The performance of an Adaptive Model that has not collected any evidence is ____________.
- A . 1.0
- B . 0.0
- C . null
- D . 0.5
Which of the following is a good candidate for a predictor in a Scoring Model?
- A . Customer Date of Birth
- B . Mobile Phone Number
- C . Total International Minutes
- D . Customer Name
What is Predictive Model Markup Language (PMML)?
- A . An Industry standard language used to represent predictive models
- B . Pega’s own language used to represent predictive models
- C . A mathematics based language used to represent predictive models
- D . An XML-Based language used to represent predictive models
When configuring an Adaptive Model, the property type Integer is automatically translated to which predictor type?
- A . Symbolic
- B . Numeric
- C . Alphanumeric
- D . Number
Pega Adaptive Models ____________.
- A . involve a significant human effort to develop
- B . require historical data
- C . learn about customer behavior in real time
- D . can only be used in inbound channels