Pegasystems PEGACPDS88V1 Exam Questions Instant Access

Question 1

What are the most important aspects taken into consideration when determining the Next-Best-Action?

AProduct discounts and business profitability

BNetwork bandwidth and call duration

CMarket trends and customer satisfaction

DBusiness objectives and customer needs

Answer : D

The most important aspects taken into consideration when determining the Next-Best-Action are business objectives and customer needs. Business objectives reflect the goals and priorities of the organization, such as increasing revenue, reducing costs, or managing risk. Customer needs reflect the preferences and expectations of the customers, such as their interests, intents, or life events. Reference: https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer

Question 2

To build a predictive model, use____________.

APega Customer Service

BPega Marketing

CPega Decision Management

DPega Platform

Answer : C

Pega Decision Management Reference:

To build a predictive model, usePega Decision Management. Pega Decision Management is a tool that enables businesses to make informed decisions based on data and analytics.

Question 3

Predictive Analytics is a________________

Areal time predictive dashboard

Bmethod of visualizing our data___________________

Cscience concerned with finding repeatable patterns in

Dquery, reporting and a search tool

Answer : C

Predictive analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors. Reference: https://academy.pega.com/module/predictive-analytics/topic/predictive-analytics-overview

Question 4

You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.

What factors do you consider in the prioritization expression?

Aproduct eligibility rules

Bcustomer contact rules

Cproduct compatibility rules

Dbusiness levers

Answer : D

Business levers are factors that you consider in the prioritization expression to balance the customer needs with the business objectives. They can include revenue, cost, risk, retention, satisfaction, or any other custom metric that reflects the value of an action. Reference: https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-business-levers

Question 5

Two results of an adaptive model are

APriority and Propensity

BPriority and Evidence

CPropensity and Performance

DPropensity and Rank

Answer : C

Two results of an adaptive model are propensity and performance. Propensity is the probability that the customer will accept or respond to an offer. Performance is a measure of how well the adaptive model predicts customer behavior over time. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview

Question 6

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

Question 7

Lift is key metric for the performance of the adaptive models.

To measure lift, you need a____________

AStandard model as a benchmark

BControl group with random actions

CControl group with a new action

DNew adaptive model

Answer : B

Lift is a key metric for the performance of the adaptive models. To measure lift, you need a control group with random actions. Lift is the ratio of the performance of the adaptive model to the performance of the control group. A control group is a subset of customers who receive random actions instead of the ones suggested by the model. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-adm-/data-adm-model/main.htm

Pegasystems Certified Pega Data Scientist 8.8 PEGACPDS88V1 Exam Questions