PEGAPCDS86V1 Online Practice Questions and Answers

The implementation of Next-Best-Action must involve

A. inclusion of third party predictive models

B. defining a prioritization formula using contact policies

C. building a product catalog

D. defining business issue and group hierarchy

A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards. To extend the customer data model with the credit card product usage data, you need to______________..

A. add a Field

B. add a Group

C. merge customer and credit card data

D. create a Provider

The process of importing a third-party predictive model into Pega is_____________'

A. the; same as importing a Pega predictive model

B. to first convert it into the Pega markup language

C. simpler than importing a Pega predictive model

D. similar to importing an adaptive model

What happens when you increase the performance threshold setting of an Adaptive Model rule?

A. The number of active predictors increases.

B. The correlation threshold decreases.

C. The performance of the model is increased.

D. The number of active predictors may decrease.

When defining outcomes for an Adaptive Model you must define_________________.

A. only negative behavior values

B. positive, negative and neutral behavior values

C. one or more positive behavior values

D. behavior values to be ignored

A company wants to create a data set that includes mock-up customer add Which method is available to populate these fields?

A. Propensity

B. Bayesian

C. Monte Carlo

D. Import

Which property is automatically recomputed for each decision component?

A. Propensity

B. Priority

C. Order

D. Rank

A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.

What is a taxonomy?

A. A list of valid categories

B. A sentiment analysis model

C. The output of an expert survey

D. A list of business rules

U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.

As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.

A. Text categorization model

B. Text extraction model

C. Adaptive model

D. Pegs machine learning model

You are a company with a new and unique product, and you want to offer it to the right customer. Given the scenario, which rule type should you use?

A. Scorecard

B. Adaptive Model

C. Predictive Model

D. Decision Table