Pegasystems PEGACPDS88V1 Exam Practice Test Instant Access

Question 1

Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

AFilter

BChampion Challenger

CAdaptive Model

DSwitch

Answer : D

TheSwitchcomponent allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%.

Question 2

In a predictive model rule, the predictors must be mapped to

AStrategy properties

BCustomer properties

CModel properties

DAction properties

Answer : B

Customer properties are used to map predictors to customer data that is available in the system. They can be either scalar or aggregate properties. Reference: https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/mapping-predictors-customer

Question 3

Which two factors do you inspect to assess the general health of the adaptive models in Prediction Studio? (Choose Two)

AModel transparency

BInsights________________

CPerformance of the models

DNumber of decisions

Answer : C, D

To assess the general health of the adaptive models in Prediction Studio, you can inspect the performance of the models and the number of decisions. The performance of the models shows how well they predict customer behavior over time. The number of decisions shows how much data is available for each model to learn from. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/monitoring-adaptive-models

Question 4

What is the key component of a Next-Best-Action strategy?

AStrategy

BWork flow

CDecision table

DPredictive model

Answer : A

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-customer-engagement/topic/next-best-action-designer

Question 5

When defining outcomes for an Adaptive Model you must define

Aonly negative behavior values

Bpositive, negative and neutral behavior values

Cone or more positive behavior values

Dbehavior values to be ignored

Answer : C

When defining outcomes for an adaptive model, you must define one or more positive behavior values, which indicate that the customer accepted or responded to the offer. You can also define negative and neutral behavior values, but they are optional. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/configuring-adaptive-models

Question 6

What is the key difference between a predictive model and a human expert?

APredictive models always outperform human experts.

BHumans are better at dealing with structured data and identifying patterns.

CPredictive models are more capable of detecting patterns in historical data.

DHumans make successful predictions on a large amount of data.

Answer : B

Question 7

Pega Adaptive Models_________

Ainvolve a significant human effort to develop

Brequire historical data_________________

Clearn about customer behavior in real time

Dcan only be used in inbound channels

Answer : C

Pega adaptive models learn about customer behavior in real time by analyzing the responses to each offer and updating their predictions accordingly. They do not require historical data, human effort, or inbound channels to function. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview

Pegasystems Certified Pega Data Scientist 8.8 PEGACPDS88V1 Exam Practice Test