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Free PEGACPDS88V1 Exam Braindumps (page: 8)

Page 7 of 36
PDF with 140 Questions

In a predictive model rule, the predictors must be mapped to

  1. Strategy properties
  2. Customer properties
  3. Model properties
  4. Action properties

Answer(s): B

Explanation:

Customer properties are used to map predictors to customer data that is available in the system. They can be either scalar or aggregate properties.


Reference:

https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/mapping-predictors-customer



From two churn models with the similar performance, we chose the one the_____

  1. Highest churn rate
  2. Highest number of predictors
  3. Most evidence
  4. Fewest number of predictors

Answer(s): D

Explanation:

The principle of parsimony states that from two models with similar performance, we choose the one with the fewest number of predictors. This is because a simpler model is easier to understand, maintain, and deploy.


Reference:

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



Acquiring new customers can be more costly than retaining active customers. U+ Bank uses Pega Customer Decision Hub for its customer engagement and wants to reduce the churn rate by identifying high churn risk customers and making them a retention offer. To meet this requirement, which two artifacts created by a data scientist allow the NBA specialist to implement the decision strategy? (Choose Two)

  1. A prediction
  2. A predictive model
  3. A control group
  4. An adaptive model

Answer(s): B,C

Explanation:

According to the Data Scientist Student Guide1, page 18, the correct answer is B. A predictive model and C. A control group. A predictive model is a mathematical representation of a real-world process that can be used to predict an outcome based on input data. A control group is a subset of customers who are not exposed to a treatment (such as an offer) and are used to measure the effectiveness of the treatment by comparing their behavior with the treated group.



A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?

  1. A list of business rules
  2. The output of an expert survey
  3. A sentiment analysis model
  4. A list of valid categories

Answer(s): D

Explanation:

A taxonomy is a list of valid categories that can be used to classify text documents or entities. A taxonomy can be hierarchical or flat, depending on the level of detail required.


Reference:

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






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