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質問 # 11
Which statement about Pega AI is correct?
- A. Pega AI is restricted to models newly build in Prediction Studio
- B. Pega AI is primarily based on models newly build in Prediction Studio
- C. Pega AI is restricted to self-learning models
- D. Pega AI is primarily based on self-learning models
正解：D
解説：
Explanation
Pega AI is primarily based on self-learning models Reference:
Pega AI is primarily based on self-learning models
質問 # 12
When compared to a Predictive Model, an Adaptive Model is different as it_____________
- A. uses predictor binning
- B. considers both symbolic and numeric predictors
- C. can use strategy properties as predictors
- D. learns from both positive and negative outcomes
正解：C
解説：
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
質問 # 13
U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode. Which statement is true about the new predictive model?
- A. The active model does not affect business outcomes
- B. The new model does not affect business outcomes
- C. The active model and the new model affect business outcomes
- D. The new model affects business outcomes
正解：D
解説：
Explanation
The new model does not affect business outcomes Reference:
When you place a new predictive model in shadow mode, it does not affect business outcomes.
質問 # 14
What are two of the results of an adaptive model? (choose two)
- A. Performance
- B. Priority
- C. Evidence
- D. Segment
正解：A、C
解説：
Explanation
Performance and evidence are two of the results of an adaptive model. Performance is the percentage of positive responses that the model predicts for a given predictor profile. Evidence is the number of customers who exhibited statistically similar behavior. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
質問 # 15
What two tasks does a system architect need to perform to export historical data? (Choose Two)
- A. Create a data set
- B. Export the data set
- C. Switch to a resilient repository
- D. Validate the predictors used by the adaptive models
- E. Set the sample percentage for positive and negative outcomes
正解：A、B
解説：
Explanation
Two tasks that a system architect needs to perform to export historical data are export the data set and create a data set.
質問 # 16
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)
- A. The parameters used to bin the responses
- B. The update frequency of the models
- C. Predictor selection
- D. Outcomes
- E. Predictor types
正解：B、C
解説：
Explanation
Predictor selection and The update frequency of the models Reference:
As a highly experienced data scientist, you have access to advanced settings such as predictor selection and the update frequency of the models
質問 # 17
The purpose of regular inspection is to detect factors that negatively influence the performance of the adaptive models and the success rate of the actions. Which two issues should be discussed with the business? (Choose Two)
- A. Predictors that are never used
- B. Actions that have a low number of responses
- C. Actions that are offered so often that they dominate other actions
- D. Predictors with a low performance_________
- E. Actions for which the model is not predictive
正解：C、D
解説：
Explanation
When performing regular inspection of adaptive models, two issues that should be discussed with the business are predictors with a low performance and actions that are offered so often that they dominate other actions.
質問 # 18
In a decision strategy, to remove propositions based on the current month, you use a
- A. Data Strategy property
- B. Filter component
- C. Calendar strategy property
- D. Calendar component
正解：D
解説：
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-
質問 # 19
Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio?
(Choose Two)
- A. Number of responses
- B. Performance of the models
- C. Model transparency
- D. Number of decisions
正解：B、C
解説：
Explanation
These factors indicate how accurate and explainable the models are, which are key measures of model health.
The number of responses and decisions are related more to model usage rather than health.
質問 # 20
To measure the boost in success rate AI generates, you need
- A. a control action that is offered to random customers
- B. a control group of customers that receive a standard action
- C. a control action that is offered to a fixed group of customers
- D. a control group of customers that receive a random action
正解：A
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 # 21
The implementation of Next-Best-Action must involve
- A. building a product catalog
- B. defining business issue and group hierarchy
- C. defining a prioritization formula using contact policies
- D. inclusion of third party predictive models
正解：B
解説：
Explanation
The implementation of Next-Best-Action must involve defining business issue and group hierarchy, which are used to organize and categorize propositions based on business objectives and customer needs. References:
https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer
質問 # 22
In a decision strategy, the Adaptive Model decision component belongs the
- A. Business Rules category
- B. Arbitration category
- C. Decision Analytics category
- D. Predictive Model category
正解：C
解説：
Explanation
In a decision strategy, the Adaptive Model decision component belongs to the Decision Analytics category.
This category contains components that use advanced analytics techniques, such as adaptive models, predictive models, text analytics models, etc., to make predictions or recommendations. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/decision-analyt
質問 # 23
A text prediction perform natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What is one of the types of text analysis that a text prediction performs?
- A. Cross reference analysis
- B. Word count
- C. Entity extraction
- D. Word analysis
正解：C
解説：
Explanation
Text prediction is a type of natural language processing that uses AI and statistics to predict the next word in a sentence based on the preceding words . Text analysis is a process of extracting information from text data using various methods and tools. One of the types of text analysis that a text prediction performs is entity extraction23, which is the identification and classification of named entities such as people, places, organizations, dates, etc. in a text.
質問 # 24
The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a new one.
Which feature of MLOps lets you monitor the new model in the production environment without affecting the business outcomes?
- A. Connection to machine learning services
- B. Shadow mode
- C. Change request
- D. Historical data capture
正解：B
解説：
Explanation
This is because shadow mode allows you to test a new model in parallel with an existing model without affecting the decision outcomes. You can compare the performance of both models and decide whether to replace or keep the existing model.
https://academy.pega.com/sites/default/files/media/documents/2020-12/Mission20301-2-EN-StudentGuide.pdf
質問 # 25
Which two factors do you inspect to assess the general health of the adaptive models in Prediction Studio?
(Choose Two)
- A. Model transparency
- B. Insights________________
- C. Performance of the models
- D. Number of decisions
正解：C、D
解説：
Explanation
To assess the general health of the adaptive models in Prediction Studio, you can inspect the performance of the models and the number of decisions. The performance of the models shows how well they predict customer behavior over time. The number of decisions shows how much data is available for each model to learn from. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/monitoring
質問 # 26
Next-Best-Actionensures that communication between the business and the customer is________and_________. (Choose Two)
- A. contextual
- B. uniform and generic
- C. timely
- D. free of jargon
正解：A、C
解説：
Explanation
Timely and contextual Reference:
Next-Best-Action ensures that communication between the business and the customer is timely and contextual.
質問 # 27
Customer Decision Hub uses the P*C*V*L arbitration formula to select the next best action for each customer. Which factor in the arbitration formula is calculated by using AI?
- A. Action value
- B. Context weighing
- C. Business levers
- D. Propensity
正解：D
解説：
Explanation
In Customer Decision Hub, the factor in the arbitration formula that is calculated by using AI is Propensity.
質問 # 28
When building a predictive model, in which development step is the regression model created?
- A. Data Analysis
- B. Model Export
- C. Model Analysis
- D. Model Development
正解：D
質問 # 29
Which decision component enables you to use a PMML model?
- A. PMML Model
- B. Third-party Model
- C. Predictive Model
- D. Adaptive Model
正解：C
解説：
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
質問 # 30
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