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Updated PEGACPDS88V1 Dumps Questions Are Available [2023] For Passing Pegasystems Exam [Q36-Q58]

Updated PEGACPDS88V1 Dumps Questions Are Available [2023] For Passing Pegasystems Exam [Q36-Q58]

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Updated PEGACPDS88V1 Dumps Questions Are Available [2023] For Passing Pegasystems Exam

Free UPDATED Pegasystems PEGACPDS88V1 Certification Exam Dumps is Online

QUESTION 36
Pega Decision Management enables organizations to make next-best-action decisions.
To which types of decisions can next-best-action be applied?

 
 
 
 
Explanation
Pega Process AI lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals.
To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to use the model outcome in the condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model’s prediction.

QUESTION 37
What is the most accurate description of proactive retention? Proactive Retention_______

 
 
 
 
Explanation
Proactive retention is a strategy that anticipates potential customer churn and takes actions to prevent it before it happens. It uses predictive analytics to identify customers who are at risk of leaving and offers them incentives or solutions to retain them. References:
https://academy.pega.com/module/one-one-customer-engagement/topic/proactive-retention

QUESTION 38
To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________

 
 
 
 
Explanation
To identify emails that voice a complaint, the text prediction uses an entity extraction model.

QUESTION 39
For an Adaptive Model to react quickly to changes in customer behavior, the

 
 
 
 

QUESTION 40
Which data is usually not appropriate to be used as a predictor?

 
 
 
 
Explanation
Customer name is usually not appropriate to be used as a predictor. A predictor is a property that influences the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. Customer name is not likely to have any impact on the customer’s preferences or responses, and it may also violate privacy regulations. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

QUESTION 41
An adaptive adaptive model component in a decision: propensity, performance, evidence, and positives.
What is evidence in the context of an adaptive model?

 
 
 
 
Explanation
Evidence is the number of customers who exhibited statistically similar behavior. It indicates how much data the model has collected for a given predictor profile. The higher the evidence, the more reliable the model is.
References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

QUESTION 42
To create channel-specific Adaptive Model instances, you____________

 
 
 
 

QUESTION 43
Which component(s) do you use to calculate the average margin of four actions?

 
 
 
 
Explanation
You can use one Set Property component to calculate the average margin of four actions by using an expression that sums up the margin values of each action and divides by four. You can then use this property in other components, such as Filter or Prioritize. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/setting-properti

QUESTION 44
Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. When using machine learning,

 
 
 
 
Explanation
When using machine learning, the Must keywords function as positive features.

QUESTION 45
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

 
 
 
 
Explanation
The Switch component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%.

QUESTION 46
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?

 
 
 
 
Explanation
To comply with the new business rule of showing a proactive retention offer to high churn risk customers, you should modify the Retention issue.

QUESTION 47
To enable an assessment of its reliability the adaptive model produces four outputs: propensity,performance, evidence and positives.
The Performance of an adaptive model that has not collected any evidence yet is______.

 
 
 
 
Explanation
The performance of an adaptive model that has not collected any evidence yet is 50. This means that the model is not confident about its predictions and assigns equal probability to all actions. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

QUESTION 48
To confirm the continuing accuracy of your adaptive models, adaptive models must be regularly inspected.
Which two tasks are part of a regular inspection? (Choose Two)

 
 
 
 
 
Explanation
To confirm the continuing accuracy of your adaptive models, two tasks that are part of a regular inspection are check the performance and success rate of the models and check the performance of individual predictors.

QUESTION 49
When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)

 
 
 
 
 
Explanation
When building a model using Pega machine learning, the validation hold-out set is used to train the models and to check for robustness of candidate models.

QUESTION 50
To configure an adaptive model, the responses that indicate specific customer behavior must be identified.
What types of behavior need to be identified?

 
 
 
 
Explanation
Positive and negative behavior Reference:
To configure an adaptive model, you must identify positive and negative behavior that indicate specific customer behavior.

QUESTION 51
Which decision component enables you to use a PMML model?

 
 
 
 
Explanation
The decision component that enables you to use a PMML model is Predictive Model. Predictive Model is a component that references a predictive model rule that defines the input parameters and the output score of the model. You can use a predictive model component to reference a PMML model that is imported from a third-party tool and use it in your decision strategy. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

QUESTION 52
A Scoring Model allows you to differentiate between

 
 
 
 
Explanation
A scoring model allows you to differentiate between Good, Better, and Best outcomes for a given proposition or action. A scoring model assigns a numerical value to each outcome based on its desirability or profitability for the business. References:
https://academy.pega.com/module/predictive-analytics/topic/using-scoring-models

QUESTION 53
Adaptive model predictors are selected from the____________.

 
 
 
 
Explanation
Adaptive model predictors are selected from the customer profile, which contains information about the customer’s attributes and behavior. Predictors can be either scalar or aggregate properties that capture customer context, such as channel, location, time, etc. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/configuring

QUESTION 54
When compared to a Predictive Model, an Adaptive Model is different as it_____________

 
 
 
 
Explanation
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. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m

QUESTION 55
It is highly recommended to leave the default settings of an adaptive model inchanged. Why is it important to follow this guideline?

 
 
 
 

QUESTION 56
A telecommunications company wants to apply text analysis to incoming emails to understand how satisfied its customers are with various products and services. That setup requires natural language processing (NLP) of the email texts. What is one of the types of analysis that occurs during natural language processing?

 
 
 
 
Explanation
One of the types of analysis that occurs during natural language processing is Semantic analysis.

QUESTION 57
When building a predictive model, in which development step is the regression model created?

 
 
 
 

QUESTION 58
U+ Insurance uses Pega Process AI to assess the complexity of the claims and route a claim to the best-suited user. In the case type that handles claims, the application developer wants to use AI to route claims that are likely to miss their deadline to an expert. As a data scientist, what task do you first perform to allow the application developer to reference the AI output in the case type?

 
 
 
 
Explanation
to use AI to route claims that are likely to miss their deadline to an expert, you need to create a prediction. A prediction is a decision management component that you can reference in a case type. A prediction uses a predictive model or an adaptive model to calculate a probability or a score for a specific outcome.
https://academy.pega.com/topic/process-ai-predictions/v1

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