更新された2024年01月02日 PEGACPDS88V1試験問題集でPDF問題とテストエンジン
最新（2024)Pegasystems PEGACPDS88V1試験問題集
質問 # 11
Which statement about the PMML standard is correct?
- A. The PMML standard is designed to facilitate the exchange of scores between applications
- B. The PMML standard is a proprietary standard
- C. The PMML standard is designed to facilitate the exchange of models between applications
- D. The PMML standard can only be used to describe tree, scorecard and regression models.
正解：C
解説：
Explanation
The PMML standard is designed to facilitate the exchange of models between applications.
質問 # 12
Pega machine learning supports the creation of which two distinct types of predictive models? (Choose Two)
- A. Categorical
- B. Numerical
- C. Continuous
- D. Binary
正解：A、D
解説：
Explanation
Pega machine learning supports the creation of two distinct types of predictive models: categorical and binary.
Categorical models predict the outcome of a variable that can have multiple values, such as product category or customer segment. Binary models predict the outcome of a variable that can have only two values, such as yes or no, accept or reject, etc. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
質問 # 13
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. Action value
- B. Context weighing
- C. Business levers
- 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 # 14
When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to_______.
- A. Create an adaptive model rule for each action
- B. Link all actions with an adaptive model decision component
- C. Capture the customer's response
- D. Define the adaptive model instances in Adaptive Decision Manager
正解：D
解説：
Explanation
To associate an adaptive model with each action in a decision strategy created from scratch, you must define the adaptive model instances in the Adaptive Decision Manager.
質問 # 15
Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:____________and____________.
(Choose Two)
- A. voice to text model
- B. continuous models
- C. adaptive models
- D. binary models
正解：C、D
解説：
Explanation
Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models: binary models and adaptive models.
質問 # 16
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 descending order based on a numerical value
- B. In a random order
- C. In alphabetical order based on the action name
- D. In ascending order based on a numerical value
正解：A、D
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 # 17
What type of a predictor can you use in an adaptive model?
- A. Logical
- B. Page Type
- C. Integer
- D. Symbolic
正解：D
解説：
Explanation
In an adaptive model, you can use Symbolic predictors.
質問 # 18
U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement?
- A. Prioritize
- B. Set Property
- C. Filter
- D. Group By
正解：C
解説：
Explanation
To offer a 10% discount for customers whose CLV value is higher than 400, you should use the Filter strategy component.
質問 # 19
Which statement about predictive models is true?
- A. They need to be specified in a data attribute.
- B. They need unstructured big data.
- C. You need past experience to create a predictive model.
- D. They are always associated with a proposition.
正解：C
質問 # 20
When implementing a Next-Best-Action project, which step is recommended to be taken first?
- A. Define propositions
- B. Define prioritization formula
- C. Define business rules
- D. Define Issue and Group hierarchy
正解：D
解説：
Explanation
When implementing a Next-Best-Action project, the recommended first step is to define Issue and Group hierarchy, which are used to organize and categorize propositions based on business objectives and customer needs. This step helps to align the project with the business vision and goals. References:
https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer
質問 # 21
Adaptive models can start to learn without historical evidence. What is the starting propensity of every action?
- A. 0
- B. 1
- C. 2
- D. 0.5
正解：D
解説：
Explanation
Adaptive models can start to learn without historical evidence. The starting propensity of every action is 0.5.
質問 # 22
From two churn models with the similar performance, we chose the one the_____
- A. Most evidence
- B. Highest number of predictors
- C. Fewest number of predictors
- D. Highest churn rate
正解：C
解説：
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.
References: https://academy.pega.com/module/predictive-analytics/topic/evaluating-predictive-models
質問 # 23
To build a predictive model, use____________.
- A. Pega Customer Service
- B. Pega Decision Management
- C. Pega Platform
- D. Pega Marketing
正解：B
解説：
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.
質問 # 24
What is the key component of a Next-Best-Action strategy?
- A. Decision table
- B. Strategy
- C. Work flow
- D. Predictive model
正解：B
解説：
Explanation
The key component of a Next-Best-Action strategy is a strategy, which is a graphical representation of the business logic that determines which actions to offer to each customer and in what order. A strategy can use various components, such as business rules, predictive models, filters, prioritizers, etc., to achieve this goal.
References: https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer
質問 # 25
A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?
- A. Propensity
- B. Monte Carlo
- C. Bayesian
- D. Import
正解：B
解説：
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. References:
https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set
質問 # 26
Predictive Analytics is a________________
- A. method of visualizing our data___________________
- B. real time predictive dashboard
- C. science concerned with finding repeatable patterns in
- D. query, reporting and a search tool
正解：C
解説：
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
質問 # 27
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