Pegasystems pegacpdc74v1 practice test

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.