ベストな準備プランPEGACPDS88V1試験2023年最新のPega PCDS無制限142問題
注目すべき時短になるPEGACPDS88V1オールインワン試験ガイド
質問 # 15
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?
- A. The Sales issue and the Retention issue
- B. The Sales issue
- C. The Retention issue
- D. No modification is required
正解：C
解説：
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.
質問 # 16
The purpose of predictions is to______________
- A. build adaptive models
- B. add predictors to adaptive models
- C. monitor the success rate of individual actions
- D. add best data scientist practices to adaptive models
正解：D
解説：
Explanation
The purpose of predictions is to build adaptive models.
質問 # 17
Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?
- A. The likelihood of a statistically similar behavior
- B. The number of customers who exhibited statistically similar behavior
- C. The number of statistical bins used to evaluate the response
- D. The number of customers who have responded to the modeled offer
正解：B
解説：
Explanation
Evidence is the number of customers who exhibited statistically similar behavior to the current customer and responded to the modeled offer. It indicates how reliable the propensity score is based on the available data.
References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m
質問 # 18
To measure the boost in success rate AI generates, you need
- A. a control group of customers that receive a standard action
- B. a control action that is offered to a fixed group of customers
- C. a control group of customers that receive a random action
- D. a control action that is offered to random customers
正解：D
解説：
Explanation
To measure the boost in success rate AI generates, you need a control action that is offered to random customers.
質問 # 19
When selecting the list of predictors for an adaptive model you should
- A. Select up to a maximum of 500 predictors
- B. Select at least one date property
- C. Consider properties from a wide range of sources
- D. Always use numeric type for integer properties
正解：C
解説：
Explanation
When selecting the list of predictors for an adaptive model you should consider properties from a wide range of sources. Predictors are properties that influence the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
質問 # 20
A contact center application recommends relevant actions for each customer. The business team wants to know the possible ways in which these actions can be ordered so that the contact center agent can discuss one proposition at a time, starting from the top.
As a strategy designer, what are your two options if you use a Prioritize component to order the actions?
(Choose Two)
- A. In ascending order based on a numerical value
- B. In descending order based on a numerical value
- C. In a random order
- D. In alphabetical order based on the action name
正解：A、B
解説：
Explanation
The prioritize component is used to order actions based on a numerical value, such as priority, propensity, or custom expression. You can choose to sort the actions in descending or ascending order. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/prioritizing-act
質問 # 21
The adaptive model component in a decision strategy computes
- A. A unique accept rate for each action
- B. A single accept rate for all actions
- C. A single propensity value for all actions
- D. A propensity value for each action
正解：D
解説：
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
質問 # 22
What are the most important aspects taken into consideration when determining the Next-Best-Action?
- A. Business objectives and customer needs
- B. Product discounts and business profitability
- C. Network bandwidth and call duration
- D. Market trends and customer satisfaction
正解：A
解説：
Explanation
The most important aspects taken into consideration when determining the Next-Best-Action are business objectives and customer needs. Business objectives reflect the goals and priorities of the organization, such as increasing revenue, reducing costs, or managing risk. Customer needs reflect the preferences and expectations of the customers, such as their interests, intents, or life events. References:
https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer
質問 # 23
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. Configure an adaptive model to drive the prediction.
- B. Add a decision step to the case type.
- C. Create a prediction.
- D. Create a predictive model.
正解：C
解説：
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
質問 # 24
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.
- A. pyBehavior
- B. pyLikelihood
- C. pyPropensity
- D. pyProbability
正解：A
解説：
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
質問 # 25
The P*C*V*L arbitration formula is used by the Customer Decision Hub to select the Next-Best-Action for each customer. Which factor in the arbitration formula is calculated using AI?
- A. Context weighing
- B. Business levers
- C. Action value
- D. Propensity
正解：D
解説：
Explanation
Propensity Reference:
The PCV*L arbitration formula used by the Customer Decision Hub to select the Next-Best-Action for each customer calculates propensity using AI.
質問 # 26
Which statement best describes the goal of Next-Best-Action?
- A. Balance customer needs with business objectives
- B. Ensure that the customer is always given a desirable offer
- C. Ensure that every customer receives the same action
- D. Provide insight into business processes
正解：A
解説：
Explanation
Balance customer needs with business objectives Reference:
The goal of Next-Best-Action is to balance customer needs with business objectives.
質問 # 27
The mapping of the input fields of a third-party predictive model is done in the
- A. Customer class definition
- B. Predictive Analytics Director portal
- C. Predictive Model decision component
- D. Predictive Model rule
正解：D
解説：
Explanation
The mapping of the input fields of a third-party predictive model is done in the Predictive Model rule. The Predictive Model rule defines how to invoke and interpret the results of a third-party predictive model that is imported in PMML format. References:
https://academy.pega.com/module/predictive-analytics/topic/using-pmml-models
質問 # 28
Pega Customer Decision Hub uses the P*C*V*L arbitration formula to select the next best action for each customer. Which description best describes the purpose of the formula?
- A. To provide insight into business processes
- B. To ensure that the customer is always given the best offer, regardless of the business objective
- C. To balance customer needs with business objectives
- D. To ensure that every customer receives the same action
正解：C
解説：
Explanation
Pega Customer Decision Hub uses the PCV*L arbitration formula to select the next best action for each customer. The purpose of the formula is to balance customer needs with business objectives.
質問 # 29
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. Performance of the model
- B. Number of positive responses
- C. Propensity of the model
- D. Success rate of the action
- E. Number of responses
- F. Number of active predictors
正解：A、C、E
解説：
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.
質問 # 30
To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.
- A. 0.5
- B. null
- C. 0.0
- D. 1-0
正解：A
解説：
Explanation
When an adaptive model has not collected any evidence, its performance is 0.5, which means that it has no predictive power and is equivalent to a random guess. As more evidence is collected, the performance can increase or decrease depending on how well the model predicts customer behavior. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m
質問 # 31
What is the most accurate description of proactive retention? Proactive Retention_______
- A. enables business to respond to customers when they contact a call center
- B. simplifies the process of retaining customers
- C. enables the business to reduce the number of credit risk customers
- D. anticipates potential customer churn
正解：D
解説：
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
質問 # 32
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
- A. makes the organization's live data accessible
- B. combines external data sets into a larger data set
- C. enables the company to generate random data for most of its application needs
- D. generates data that the company can use as input for adaptive decisioning
正解：D
解説：
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. References:
https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set
質問 # 33
You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.
What factors do you consider in the prioritization expression?
- A. product eligibility rules
- B. business levers
- C. customer contact rules
- D. product compatibility rules
正解：B
解説：
Explanation
Business levers are factors that you consider in the prioritization expression to balance the customer needs with the business objectives. They can include revenue, cost, risk, retention, satisfaction, or any other custom metric that reflects the value of an action. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-business-
質問 # 34
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