Pegasystems PEGACPDS88V1 Exam Practice Test Instant Access

Question 1

The decision components use on the strategy canvas can be individually configured.

Which function is available when configuring the Group By component?

AMultiply

BDivide

CTrue if Some

DCount

Answer : D

According to the Pega Academy1, decision strategies drive the next best action and comprise a unit of reasoning represented by decision components. You use the Proposition Data component to import actions into a strategy canvas. The sequence of the components in the canvas determines which action is selected for a customer.

The Group By component2is used to group a list of ranked items based on a field and retain only one element in each group.The function available when configuring the Group By component isCount2, which returns the number of elements in each group.

Question 2

When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model?

ApxEvidence

BpxResult

CpxSegment

DnxOutcome

Answer : B

The pxResult property is used to access the output of a prediction that is driven by a PMML model. It contains the predicted value or class for each record in the input data set. Reference: https://academy.pega.com/module/predictive-analytics/topic/using-pmml-models

Question 3

To predict if a customer is likely to churn you use a model of type

Achampion challenger

Bdecision tree

Cswitch

Ddecision table

Answer : B

To predict if a customer is likely to churn, you use a model of type decision tree. A decision tree is a type of predictive model that uses a set of rules to classify customers into different categories based on their attributes and behavior. A decision tree can predict a binary outcome (such as churn or not churn) or a multi-class outcome (such as low risk, medium risk, or high risk). Reference: https://academy.pega.com/module/predictive-analytics/topic/using-decision-tree-models

Question 4

The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a new one.

Which feature of MLOps lets you monitor the new model in the production environment without affecting the business outcomes?

AChange request

BShadow mode

CHistorical data capture

DConnection to machine learning services

Answer : B

This is because shadow mode allows you to test a new model in parallel with an existing model without affecting the decision outcomes. You can compare the performance of both models and decide whether to replace or keep the existing model.

https://academy.pega.com/sites/default/files/media/documents/2020-12/Mission20301-2-EN-StudentGuide.pdf

Question 5

What happens when you increase the performance threshold setting of an adaptive model rule?

AThe number of active predictors increases

BThe performance of the model is increased

CThe correlation threshold decreases

DThe number of active predictors may decrease

Answer : D

When you increase the performance threshold setting of an adaptive model rule, the number of active predictors may decrease. The performance threshold is the minimum performance that a predictor must have to be included in the model. If you increase this value, some predictors may not meet the criteria and be excluded from the model. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-adaptivemodel/main.htm

Question 6

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 7

When compared to a Predictive Model, an Adaptive Model is different as it_____________

Acan use strategy properties as predictors

Bconsiders both symbolic and numeric predictors

Clearns from both positive and negative outcomes

Duses predictor binning

Answer : A

An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc. 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