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NEW QUESTION # 78
A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages. What do you need to analyze the incoming messages?
- A. Text categorization model
- B. Adaptive model
- C. Text extraction model
- D. Predictive model
Answer: A
Explanation:
Explanation
A text categorization model is a type of text analytics model that can analyze the incoming messages and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way, CSRs can focus on negative messages that require immediate attention or escalation. References:
https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model
NEW QUESTION # 79
In a decision strategy, the Adaptive Model decision component belongs the
- A. Predictive Model category
- B. Business Rules category
- C. Arbitration category
- D. Decision Analytics category
Answer: D
Explanation:
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
NEW QUESTION # 80
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 number of statistical bins used to evaluate the response
- B. The number of customers who exhibited statistically similar behavior
- C. The number of customers who have responded to the modeled offer
- D. The likelihood of a statistically similar behavior
Answer: B
Explanation:
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
NEW QUESTION # 81
Which adaptive model output is automatically mapped to a strategy property?
- A. Performance
- B. Evidence
- C. Score
- D. Propensity
Answer: D
Explanation:
Explanation
Propensity is the adaptive model output that is automatically mapped to a strategy property. 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 # 82
Pega Adaptive Models_________
- A. involve a significant human effort to develop
- B. require historical data_________________
- C. can only be used in inbound channels
- D. learn about customer behavior in real time
Answer: D
Explanation:
Explanation
Pega adaptive models learn about customer behavior in real time by analyzing the responses to each offer and updating their predictions accordingly. They do not require historical data, human effort, or inbound channels to function. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m
NEW QUESTION # 83
Model transparency is becoming an important requirement for many businesses. In Prediction Studio, model transparency thresholds can be set for
- A. a department
- B. a model
- C. a model type
- D. a business issue
Answer: B
Explanation:
Explanation
In Prediction Studio, model transparency thresholds can be set for a model.
NEW QUESTION # 84
Predictions combine predictive analytics and best practices in data science. Which two best practices are included in Pega Customer Decision Hub predictions? (Choose Two)
- A. Setting the response timeout
- B. Selecting the model with the highest performance
- C. Using a control group
- D. Selecting the audience
Answer: B,C
Explanation:
Explanation
Predictions combine predictive analytics and best practices in data science. Two best practices included in Pega Customer Decision Hub predictions are using a control group and selecting the model with the highest performance.
NEW QUESTION # 85
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. Entity extraction
- C. Word analysis
- D. Word count
Answer: B
Explanation:
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.
NEW QUESTION # 86
When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to_______.
- A. Define the adaptive model instances in Adaptive Decision Manager
- B. Create an adaptive model rule for each action
- C. Capture the customer's response
- D. Link all actions with an adaptive model decision component
Answer: A
Explanation:
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.
NEW QUESTION # 87
The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email.
To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?
- A. Pega Customer Decision Hub prediction.
- B. Text analytics prediction.
- C. Sentiment detection does not require any predictions.
- D. Case management prediction.
Answer: B
Explanation:
Explanation
To detect the sentiment of the incoming emails, you need to configure a text analytics prediction1234 in Prediction Studio. A text analytics prediction is a type of prediction that uses natural language processing (NLP) to analyze text data and extract insights, such as topics, entities, and sentiments. You can use a text analytics prediction to detect the sentiment of an email based on its content and assign a score ranging from -1 (negative) to 1 (positive). This can help you improve the customer experience by identifying dissatisfied customers and taking appropriate actions.
NEW QUESTION # 88
As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner.
What type of prediction do you need to create in Prediction studio?
- A. Case management
- B. Adaptive prediction
- C. Text analysis
- D. Customer Decision Hub
Answer: D
Explanation:
Explanation
Customer Decision Hub Reference:
To optimize the click-through rate of a web banner, you need to create a Customer Decision Hub prediction.
NEW QUESTION # 89
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
Answer: D
Explanation:
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.
NEW QUESTION # 90
To predict if a customer is likely to churn you use a model of type
- A. decision table
- B. champion challenger
- C. decision tree
- D. switch
Answer: C
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 # 91
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. Set Property
- B. Group By
- C. Filter
- D. Prioritize
Answer: C
Explanation:
Explanation
To offer a 10% discount for customers whose CLV value is higher than 400, you should use the Filter strategy component.
NEW QUESTION # 92
What is the key component of a Next-Best-Action strategy?
- A. Strategy
- B. Decision table
- C. Work flow
- D. Predictive model
Answer: A
Explanation:
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
NEW QUESTION # 93
What are two of the results of an adaptive model? (choose two)
- A. Segment
- B. Evidence
- C. Priority
- D. Performance
Answer: B,D
Explanation:
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
NEW QUESTION # 94
A company wants to capture the sentiment of messages to allow its customer service representatives to focus on only the negative messages. Sentiment refers to the general attitude of the author towards a subject and can be________________
- A. negative
- B. offensive
- C. defensive
- D. absent
Answer: A
Explanation:
Explanation
Sentiment refers to the general attitude of the author towards a subject and can be negative.
NEW QUESTION # 95
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 compatibility rules
- B. customer contact rules
- C. product eligibility rules
- D. business levers
Answer: D
Explanation:
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-
NEW QUESTION # 96
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