Give You Free Regular Updates on PEGACPDS88V1 Exam Questions Dec 05, 2023 [Q44-Q60]

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Give You Free Regular Updates on PEGACPDS88V1 Exam Questions Dec 05, 2023

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NEW QUESTION 44
What are two of the results of an adaptive model? (choose two)

Performance

Evidence

Priority

Segment

NEW QUESTION 45
In Prediction Studio, the key metrics of adaptive models are visualized in a bubble chart. What three key metrics are displayed in this chart? (Choose Three)

Number of responses

Propensity of the model

Success rate of the action

Number of positive responses

Number of active predictors

Performance of the model

NEW QUESTION 46
Which statement best describes the goal of Next-Best-Action?

Ensure that the customer is always given a desirable offer

Balance customer needs with business objectives

Ensure that every customer receives the same action

Provide insight into business processes

NEW QUESTION 47
As a data scientist, you have enabled capturing of historical data in an adaptive model. Which two data elements are captured for every customer interaction? (Choose Two)

The value of only the active predictors

The outcome of the interaction

The model metadata

The propensity generated by the model

The value of all predictors

NEW QUESTION 48
The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email.
To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?

Pega Customer Decision Hub prediction.

Sentiment detection does not require any predictions.

Case management prediction.

Text analytics prediction.

NEW QUESTION 49
The adaptive model component in a decision strategy computes

A single propensity value for all actions

A unique accept rate for each action

A single accept rate for all actions

A propensity value for each action

NEW QUESTION 50
A company wants to simulate decisions that requires large amounts of data. However, the organisation’s live data is inaccessible. Your advice is to use a Monte Carlo data set. The Monte Carlo method

enables the company to generate random data for most of its application needs

generates data that the company can use as input for adaptive decisioning

combines external data sets into a larger data set

makes the organization’s live data accessible

NEW QUESTION 51
The use of an imported third-party model in a decision strategy is____

Only possible after conversion into a Pega machine learning model

Identical to the use of an adaptive model

Similar to the use of a model built with Pega machine learning

Only possible after conversion into Pega markup language

NEW QUESTION 52
Next-Best-Actionensures that communication between the business and the customer is________and_________. (Choose Two)

timely

uniform and generic

contextual

free of jargon

NEW QUESTION 53
U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?

Decision table

When rule

Adaptive model

Pega machine learning model

NEW QUESTION 54
When selecting the list of predictors for an adaptive model you should

Select up to a maximum of 500 predictors

Consider properties from a wide range of sources

Always use numeric type for integer properties

Select at least one date property

NEW QUESTION 55
When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)

select the best model

train the models_____________________

check for robustness of candidate models

compare their performance

analyze the performance characteristics of candidate models

NEW QUESTION 56
For an Adaptive Model to react quickly to changes in customer behavior, the

performance threshold should be set to a low number

model must always evaluate all customer responses

strategy must include the calculation for smooth propensity

value of the memory setting should be set to a low number

NEW QUESTION 57
Which statement about the expected performance of a binary model is correct?

It is an optional field

The expected performance is calculated automatically when using Pega machine learning

The expected performance must be set before the model can be deployed

The expected performance of a binary model can range from 0 to 100

NEW QUESTION 58
To measure the boost in success rate AI generates, you need

a control action that is offered to random customers

a control action that is offered to a fixed group of customers

a control group of customers that receive a standard action

a control group of customers that receive a random action

NEW QUESTION 59
A Scoring Model allows you to differentiate between

Accept, Reject, Maybe Later

Good, Bad

Good, Better, Best

Good, Bad, Unknown

NEW QUESTION 60
The Predictive Model Markup Language (PMML) allows for predictive models to

Perform better

Be easily shared between applications

Use the same modeling process

Be developed faster

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