Pegasystems PEGACPDC74V1 Certified Pega Decisioning Consultant Online Training
Pegasystems PEGACPDC74V1 Online Training
The questions for PEGACPDC74V1 were last updated at Nov 19,2024.
- Exam Code: PEGACPDC74V1
- Exam Name: Certified Pega Decisioning Consultant
- Certification Provider: Pegasystems
- Latest update: Nov 19,2024
Business rules that determine if a customer is eligible for a particular proposition are also known as ___________.
- A . Contact rules
- B . Hard rules
- C . Soft rules
- D . Marketing rules
One of the flow shapes which allows seamless integration of Pega Decision Management with Pega Business Process Management is ____________.
- A . Subprocess
- B . Run Data Flow
- C . Utility
- D . Decision
To which types of decisions can Decision Management be applied?
- A . Determining the cause of a customer’s problem
- B . Determining why response rates for a campaign in one region are below average
- C . Determining how to retain a customer and what budget we should spend
- D . Determining how to optimize the product portfolio to increase market share
Which decision component is used to arbitrate between propositions?
- A . Prioritize
- B . Adjudication
- C . Arbitration
- D . Decision Table
In a prioritization expression, to balance the customer needs and business objectives you adjust ____________.
- A . customer contact rules
- B . weights and levels
- C . product compatibility rules
- D . product eligibility rules
The Next-Best-Action strategies must be _____________.
- A . secured and modified only by IT
- B . simple and straight forward
- C . easy to be changed by the business
- D . complex and forensically calculated
Which decision component is used to implement hard rules?
- A . Prioritize
- B . Adaptive Model
- C . Decision Table
- D . Eligibility
The Predictive Model Markup Language (PMML) allows for predictive models to ___________.
- A . be developed faster
- B . be easily shared between applications
- C . use the same modelling process
- D . perform better
When compared to a Predictive Model, an Adaptive Model is different as it ___________.
- A . can use strategy properties as predictors
- B . considers both symbolic and numeric predictors
- C . learns from both positive and negative outcomes
- D . uses predictor binning
What is the difference between predictive and adaptive analytics?
- A . Predictive models can predict a continuous value.
- B . Predictive models predict customer behavior.
- C . Adaptive models use the customer data as predictors.
- D . Predictive models have evidence.
Latest PEGACPDC74V1 Dumps Valid Version with 100 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund
