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NEW QUESTION # 74
A best practice in data science is to use a control group. What business metric is supported by this practice?
- A. The lift that the prediction generates
- B. The success rate of the prediction
- C. The number of responses
- D. The performance of the prediction
Answer: A
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 # 75
For an Adaptive Model to react quickly to changes in customer behavior, the
- A. value of the memory setting should be set to a low number
- B. performance threshold should be set to a low number
- C. strategy must include the calculation for smooth propensity
- D. model must always evaluate all customer responses
Answer: B
NEW QUESTION # 76
Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio?
(Choose Two)
- A. Number of decisions
- B. Number of responses
- C. Performance of the models
- D. Model transparency
Answer: C,D
Explanation:
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.
NEW QUESTION # 77
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)
- A. Predictor selection
- B. Outcomes
- C. The parameters used to bin the responses
- D. The update frequency of the models
- E. Predictor types
Answer: A,D
Explanation:
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
NEW QUESTION # 78
What is the key component of a Next-Best-Action strategy?
- A. Decision table
- B. Predictive model
- C. Work flow
- D. Strategy
Answer: D
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 # 79
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 group of customers that receive a random action
- C. a control action that is offered to random customers
- D. a control action that is offered to a fixed group of customers
Answer: C
Explanation:
Explanation
To measure the boost in success rate AI generates, you need a control action that is offered to random customers.
NEW QUESTION # 80
What are two of the results of an adaptive model? (choose two)
- A. Performance
- B. Evidence
- C. Segment
- D. Priority
Answer: A,B
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 # 81
Adaptive models can start to learn without historical evidence. What is the starting propensity of every action?
- A. 0
- B. 0.5
- C. 1
- D. 2
Answer: B
Explanation:
Explanation
Adaptive models can start to learn without historical evidence. The starting propensity of every action is 0.5.
NEW QUESTION # 82
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. Prioritize
- C. Filter
- D. Group By
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 # 83
The mapping of the input fields of a third-party predictive model is done in the
- A. Customer class definition
- B. Predictive Model rule
- C. Predictive Model decision component
- D. Predictive Analytics Director portal
Answer: B
Explanation:
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
NEW QUESTION # 84
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 designed to facilitate the exchange of models between applications
- C. The PMML standard is a proprietary standard
- D. The PMML standard can only be used to describe tree, scorecard and regression models.
Answer: B
Explanation:
Explanation
The PMML standard is designed to facilitate the exchange of models between applications.
NEW QUESTION # 85
U+ Insurance wants to use Pega Process Al to detect fraud and assign suspicious claims to a fraud expert for closer inspection.
To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim?
- A. Use the model outcome in the condition of an assignment step.
- B. Use the prediction outcome in the condition of an assignment step.
- C. Use the model outcome in the condition of a decision step.
- D. Use the prediction outcome in the condition of a decision step.
Answer: C
Explanation:
Explanation
Pega Process AI lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals.
To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to use the model outcome in the condition of a decision step . This way, you can route suspicious claims to a fraud expert for closer inspection based on the model's prediction.
NEW QUESTION # 86
When developing a predictive model, the outcome value of a continuous model type can represent__________________
- A. customer churn
- B. customer loan default
- C. the purchase value of an offer
- D. acceptance of an offer
Answer: C
Explanation:
Explanation
When developing a predictive model, the outcome value of a continuous model type can represent the purchase value of an offer.
NEW QUESTION # 87
When building a predictive model, the use of testing and validation samples_______________
- A. enables model validation in strategies
- B. is mandatory for segmentation
- C. increases the accuracy of models
- D. validates the quality of input data
Answer: C
Explanation:
Explanation
The use of testing and validation samples increases the accuracy of predictive models by allowing you to evaluate how well they perform on unseen data and avoid overfitting or underfitting problems. References:
https://academy.pega.com/module/predictive-analytics/topic/creating-predictive-models
NEW QUESTION # 88
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. Propensity
- C. Business levers
- D. Context weighing
Answer: B
Explanation:
Explanation
In Customer Decision Hub, the factor in the arbitration formula that is calculated by using AI is Propensity.
NEW QUESTION # 89
What is the most accurate description of proactive retention? Proactive Retention_______
- A. enables the business to reduce the number of credit risk customers
- B. enables business to respond to customers when they contact a call center
- C. anticipates potential customer churn
- D. simplifies the process of retaining customers
Answer: C
Explanation:
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
NEW QUESTION # 90
Which decision component allows you to monitor the real-time performance of a third- party Churn Model?
- A. PMML Model
- B. Adaptive Model
- C. Scorecard Model
- D. Predictive Model
Answer: C
Explanation:
Explanation
A scorecard model is a type of predictive model that allows you to monitor the real-time performance of a third-party churn model. A scorecard model compares the predicted churn probability with the actual churn outcome and calculates a performance score for each customer segment. References:
https://academy.pega.com/module/predictive-analytics/topic/using-scorecard-models
NEW QUESTION # 91
To build a predictive model, use____________.
- A. Pega Marketing
- B. Pega Customer Service
- C. Pega Platform
- 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 # 92
Configuring an adaptive model involves selecting the potential predictors. How many potential predictors are recommended for an adaptive model?
- A. Up to 100 fields to limit the impact on model speed
- B. At least 100 fields to reach an acceptable level of model performance
- C. All available uncorrected fields
- D. All fields that have been predictive in the past
Answer: A
Explanation:
Explanation
Up to 100 fields to limit the impact on model speed Reference:
When configuring an adaptive model, it is recommended to select up to 100 potential predictors to limit the impact on model speed.
NEW QUESTION # 93
A telecommunications company wants to apply text analysis to incoming emails to understand how satisfied its customers are with various products and services. That setup requires natural language processing (NLP) of the email texts. What is one of the types of analysis that occurs during natural language processing?
- A. Intent analysis
- B. Subjective analysis
- C. Semantic analysis
- D. Presumptive analysis
Answer: C
Explanation:
Explanation
One of the types of analysis that occurs during natural language processing is Semantic analysis.
NEW QUESTION # 94
When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to_______.
- A. Capture the customer's response
- B. Define the adaptive model instances in Adaptive Decision Manager
- C. Link all actions with an adaptive model decision component
- D. Create an adaptive model rule for each action
Answer: B
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 # 95
Which adaptive model output is automatically mapped to a strategy property?
- A. Score
- B. Evidence
- C. Performance
- 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 # 96
The likelihood that an action will be accepted by the customer is stored in the Strategy property called_______
- A. pyPropensity
- B. pyBehavior
- C. pyLikelihood
- D. pyProbability
Answer: A
Explanation:
Explanation
The pyPropensity property stores the likelihood that an action will be accepted by the customer. It is calculated by a predictive model or an adaptive model and used in decision strategies to prioritize actions. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-predictio
NEW QUESTION # 97
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