PEGACPDS24V1 시험 - Pegasystems실제시험문제와 답 - 80문항

Question No : 1

Who configures the outbound schedule, updates strategy logic, and optimizes customer interactions across all channels in a Pega Customer Decision Hub™ implementation?

A.Data Engineering
B.CDH Implementation team
C.Data Scientists
D.Marketing Ops

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Question No : 2

As a decisioning consultant, you are tasked with configuring the ethical bias policy.
Which context do you need to select to add bias fields?

A.Action
B.Action group
C.Treatment
D.Customer

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Question No : 3

U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode.
Which statement is true about the new predictive model?

A.The active model and the new model affect business outcomes.
B.The new model affects business outcomes.
C.The new model does not affect business outcomes.
D.The active model does not affect business outcomes.

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Question No : 4

The output of a predictive model is accessible by other components in the strategy via a property called ____________

A.pxSegment
B.pyOutcome
C.pxRank
D.pyPropensity

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Question No : 5

Which of the following is NOT a use case for NLP in Pega?

A.Sentiment analysis
B.Text classification
C.Speech recognition
D.Entity extraction

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Question No : 6

With which component in Next-Best-Action Designer can you define the business structure for your organization by grouping actions into categories such as "Acquire" and "Grow"?

A.Arbitration
B.Engagement Policy
C.Taxonomy
D.Constraints

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Question No : 7

What is the role of an IT steering committee?

A.To oversee an organization's IT strategy and investments
B.To oversee an organization's IT security
C.To oversee an organization's IT accessibility
D.To oversee an organization's IT availability

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Question No : 8

U+ Bank relies on a text prediction to route incoming emails to the correct department.
To detect an account number in the text, the text prediction uses ____________.

A.an entity extraction model
B.a language model
C.a sentiment model
D.a topic model

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Question No : 9

U+ Bank promotes credit card offers on its website and uses Pega Customer Decision Hub™ to personalize the offer for every customer. Now, the bank wants to lower the number of customers that leave the bank by showing a proactive retention offer to high churn risk customers instead. As an NBA analyst, you are tasked with creating a new applicability setting to comply with the new business rule.
Which business issue or issues do you modify?

A.Both the Sales issue and the Retention issue
B.Only the Sales issue
C.Only the Retention issue
D.Only the Retention issue

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Question No : 10

What is the difference between classification and regression in Predictive Analytics?

A.Classification is used for predicting continuous outcomes, while regression is used for predicting categorical outcomes
B.Classification is used for predicting categorical outcomes, while regression is used for predicting continuous outcomes
C.Classification and regression are the same thing
D.Neither classification nor regression are used in Predictive Analytics

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Question No : 11

When selecting the list of predictors for an adaptive model you should

A.select up to a maximum of 500 predictors
B.select at least one date property
C.always use numeric type for integer properties
D.consider a wide range of properties

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Question No : 12

What is Pega Process AI?

A.A process automation tool
B.An AI-powered tool for process optimization and automation
C.A machine learning tool for predicting process outcomes
D.A tool for monitoring process performance

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Question No : 13

A large online store wants to adapt to changing customer behavior but does not want to be distracted by fads. Adaptive models can help accomplish both business objectives.
Which statement about adaptive models is correct?

A.Adaptive models perform a continuous model calculation.
B.Adaptive models require no historical data to get started.
C.Adaptive models are regression models.
D.Adaptive models require underlying predictive models.

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Question No : 14

What is ensemble learning in Predictive Analytics?

A.A technique for combining the predictions of multiple models
B.A technique for training a single model on multiple datasets
C.A technique for automatically selecting the best algorithm for a given problem
D.A technique for validating a model using multiple datasets

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Question No : 15

In a decision strategy, which component is required to enable access to proposition properties?

A.Proposition Data
B.Data Include
C.Data Join
D.Property Import

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Pegasystems PEGACPDS24V1 시험