PEGACPDS88V1 Practice Dumps - Verified By BraindumpsIT Updated 142 Questions

Updated PEGACPDS88V1 Exam Dumps - PDF Questions and Testing Engine

NEW QUESTION # 31
To predict if a customer is likely to churn you use a model of type

• A. decision tree
• B. switch
• C. champion challenger
• D. decision table

Answer: A

Explanation:
Explanation
To predict if a customer is likely to churn, you use a model of type decision tree. A decision tree is a type of predictive model that uses a set of rules to classify customers into different categories based on their attributes and behavior. A decision tree can predict a binary outcome (such as churn or not churn) or a multi-class outcome (such as low risk, medium risk, or high risk). References:
https://academy.pega.com/module/predictive-analytics/topic/using-decision-tree-models

NEW QUESTION # 32
The adaptive model component in a decision strategy computes

• A. A unique accept rate for each action
• B. A propensity value for each action
• C. A single accept rate for all actions
• D. A single propensity value for all actions

Answer: B

Explanation:
Explanation
The adaptive model component in a decision strategy computes a propensity value for each action. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100.
References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 33
When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model?

• A. pxSegment
• B. pxEvidence
• C. pxResult
• D. nxOutcome

Answer: C

Explanation:
Explanation
The pxResult property is used to access the output of a prediction that is driven by a PMML model. It contains the predicted value or class for each record in the input data set. References:
https://academy.pega.com/module/predictive-analytics/topic/using-pmml-models

NEW QUESTION # 34
Adaptive model predictors are selected from the____________.

• A. communication channel
• B. similar propositions
• C. proposition profile
• D. customer profile

Answer: D

Explanation:
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

NEW QUESTION # 35
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)

• A. Number of active predictors
• B. Success rate of the action
• C. Propensity of the model
• D. Number of positive responses
• E. Number of responses
• F. Performance of the model

Answer: C,E,F

Explanation:
Explanation
In Prediction Studio, the key metrics of adaptive models are visualized in a bubble chart. The three key metrics displayed in this chart are number of responses, propensity of the model, and performance of the model.

NEW QUESTION # 36
Predictive Analytics is a________________

• A. method of visualizing our data___________________
• B. query, reporting and a search tool
• C. science concerned with finding repeatable patterns in
• D. real time predictive dashboard

Answer: C

Explanation:
Explanation
Predictive analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors. References:
https://academy.pega.com/module/predictive-analytics/topic/predictive-analytics-overview

NEW QUESTION # 37
Adaptive model components can output__________

• A. The number of customer's eligible for an action
• B. The customer's propensity to accept an action
• C. An optimized strategy
• D. An option___________

Answer: B

Explanation:
Explanation
Adaptive model components can output the customer's propensity to accept an action. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 38
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?

• A. Add a decision step to the case type.
• B. Create a prediction.
• C. Create a predictive model.
• D. Configure an adaptive model to drive the prediction.

Answer: B

Explanation:
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

NEW QUESTION # 39
To build a predictive model, use____________.

• A. Pega Marketing
• B. Pega Platform
• C. Pega Customer Service
• D. Pega Decision Management

Answer: D

Explanation:
Explanation
Pega Decision Management Reference:
To build a predictive model, use Pega Decision Management. Pega Decision Management is a tool that enables businesses to make informed decisions based on data and analytics.

NEW QUESTION # 40
What two tasks does a system architect need to perform to export historical data? (Choose Two)

• A. Switch to a resilient repository
• B. Set the sample percentage for positive and negative outcomes
• C. Validate the predictors used by the adaptive models
• D. Create a data set
• E. Export the data set

Answer: D,E

Explanation:
Explanation
Two tasks that a system architect needs to perform to export historical data are export the data set and create a data set.

NEW QUESTION # 41
U+ Insurance uses Pega Process AI to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models. When you open the monitoring tab of the adaptive model rule, you see the following chart:

In this scenario, the system creates an adaptive model for each

• A. case type
• B. case type instance
• C. case type step
• D. case type stage

Answer: A

Explanation:
Explanation
In this scenario, the system creates an adaptive model for each case type, such as claim or complaint. The adaptive model learns from the outcomes of each case type and predicts the probability of case completion for each customer. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m

NEW QUESTION # 42
The Predictive Model Markup Language (PMML) allows for predictive models to

• A. Be easily shared between applications
• B. Use the same modeling process
• C. Be developed faster
• D. Perform better

Answer: A

Explanation:
Explanation
The Predictive Model Markup Language (PMML) allows for predictive models to be easily shared between applications. PMML is a standard XML format that describes the input parameters, output score, and mathematical formulas of predictive models. PMML enables interoperability between different tools and platforms that support PMML, such as Pega Customer Decision Hub. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-predictivemodel-/data-

NEW QUESTION # 43
The Adaptive Model output that is automatically mapped to a strategy property is_________.

• A. score
• B. propensity
• C. evidence
• D. performance

Answer: B

Explanation:
Explanation
The adaptive model output that is automatically mapped to a strategy property is propensity, which indicates the likelihood that the customer will accept or respond to an offer. Propensity is also known as behavior or probability in decision strategies. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/using-adap

NEW QUESTION # 44
In a decision strategy, to remove propositions based on the current month, you use a

• A. Calendar component
• B. Calendar strategy property
• C. Filter component
• D. Data Strategy property

Answer: A

Explanation:
Explanation
The calendar component is used to remove propositions based on the current month, day of week, or time of day. It can also be used to apply seasonal adjustments to propositions. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-calendar-

NEW QUESTION # 45
MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub. Which three of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)

• A. Traditional television advertisements
• B. Call center
• C. Retail store
• D. Billboard on the company building
• E. SMS

Answer: B,C,E

Explanation:
Explanation
Call center, SMS, and Retail store Reference:
MyCo can use Call center, SMS, and Retail store as real-time channels to present Next-Best-Actions.

NEW QUESTION # 46
What is the difference between predictive and adaptive analytics?

• A. Adaptive models use the customer data as predict*
• B. Predictive models have evidence.
• C. Predictive models can predict a continuous value.
• D. Predictive models predict customer behavior.

Answer: A

Explanation:
Explanation
The difference between predictive and adaptive analytics is that adaptive models use the customer data as predictors, while predictive models use the customer data as outcomes. Adaptive models learn from real-time customer interactions and update their predictions accordingly. Predictive models use historical customer data to train and validate their predictions. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m

NEW QUESTION # 47
A best practice in data science is to use a control group. What business metric is supported by this practice?

• A. The performance of the prediction
• B. The lift that the prediction generates
• C. The number of responses
• D. The success rate of the prediction

Answer: B

Explanation:
Explanation
The lift that the prediction generates Reference:
Using a control group is a best practice in data science that supports the business metric of the lift that the prediction generates.

NEW QUESTION # 48
Adaptive models can start to learn without historical evidence. What is the starting propensity of every action?

• A. 0.5
• B. 0
• C. 1
• D. 2

Answer: A

Explanation:
Explanation
Adaptive models can start to learn without historical evidence. The starting propensity of every action is 0.5.

NEW QUESTION # 49
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.

• A. pyBehavior
• B. pyProbability
• C. pyLikelihood
• D. pyPropensity

Answer: A

Explanation:
Explanation
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called pyBehavior. This property is calculated by an adaptive model or a predictive model and reflects the customer's propensity to respond to an offer. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-predictio

NEW QUESTION # 50
U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers.
The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?

• A. Group By
• B. Prioritize
• C. Filter
• D. Set Property

Answer: B

Explanation:
Explanation
If you are debugging the Next-Best-Action decision strategy and want to see if the result of the Arbitration is correct, you should use the Prioritize strategy component.

NEW QUESTION # 51
What type of a predictor can you use in an adaptive model?

• A. Logical
• B. Page Type
• C. Integer
• D. Symbolic

Answer: D

Explanation:
Explanation
In an adaptive model, you can use Symbolic predictors.

NEW QUESTION # 52
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Pegasystems PEGACPDS88V1 Certification Exam is designed for individuals who want to demonstrate their proficiency in Pega data science. Certified Pega Data Scientist 88V1 certification exam tests the candidate's knowledge in various areas such as data modeling, data analysis, machine learning, and predictive analytics. PEGACPDS88V1 exam is designed to evaluate the candidate's ability to use Pega's Artificial Intelligence (AI) and Machine Learning (ML) tools to analyze and model data effectively. Upon passing the exam, candidates earn the Certified Pega Data Scientist 88V1 certification, which is a valuable credential in the field of data science.

 

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