QUESTION: 57

A company wants to simulate decisions that requires large amounts of dat

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

Answer(s): B

Explanation:

The Monte Carlo method enables the company to generate data that simulates customer behavior and can be used as input for adaptive decisioning. The generated data is based on predefined probabilities and distributions that reflect realistic scenarios.

Reference:

https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating- monte-carlo-data-set

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QUESTION: 58

Which decision component allows you to monitor the real-time performance of a third- party Churn

Model?

Scorecard Model
Adaptive Model
PMML Model
Predictive Model

Answer(s): A

Explanation:

A scorecard model is a type of predictive model that allows you to monitor the real-time performance of a third-party churn model. A scorecard model compares the predicted churn probability with the actual churn outcome and calculates a performance score for each customer segment.

Reference:

https://academy.pega.com/module/predictive-analytics/topic/using-scorecard- models

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QUESTION: 59

A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?

Propensity
Bayesian
Monte Carlo
Import

Answer(s): C

Explanation:

The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions.

Reference:

https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating- monte-carlo-data-set

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QUESTION: 60

A telecom company is interested in improving customer engagement on social medi

However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.
What do you need to analyze the incoming messages?
Predictive model
Adaptive model
Text categorization model
Text extraction model

Answer(s): C

Explanation:

A text categorization model is a type of text analytics model that can analyze the incoming messages and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way, CSRs can focus on negative messages that require immediate attention or escalation.

Reference:

https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model

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Free PEGACPDS88V1 Exam Braindumps (page: 15)

QUESTION: 57

Explanation:

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QUESTION: 58

Explanation:

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QUESTION: 59

Explanation:

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QUESTION: 60

Explanation:

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