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Practice with these PEGACPDS88V1 dumps Certification Sample Questions
The PEGACPDS88V1 exam is aimed at data scientists who have experience in using Pega's machine learning and data science tools. PEGACPDS88V1 exam covers topics such as data preparation, feature engineering, model selection, and evaluation. It also tests the candidate's knowledge of Pega's predictive analytics and decisioning capabilities, as well as their ability to use Pega's automation and artificial intelligence tools.
NEW QUESTION # 18
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. Link all actions with an adaptive model decision component
- C. Create an adaptive model rule for each action
- D. Define the adaptive model instances in Adaptive Decision Manager
Answer: D
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 # 19
Which data is usually not appropriate to be used as a predictor?
- A. Historical interaction data
- B. Customer zip code
- C. Customer name
- D. Usage data
Answer: C
Explanation:
Explanation
Customer name is usually not appropriate to be used as a predictor. A predictor is a property that influences the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. Customer name is not likely to have any impact on the customer's preferences or responses, and it may also violate privacy regulations. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
NEW QUESTION # 20
An adaptive model instance is created when you________
- A. Restart the Adaptive Decision Manager Service
- B. Save the Adaptive model rule
- C. Execute a strategy containing the adaptive model component
- D. Open the Adaptive model management landing page
Answer: C
Explanation:
Explanation
An adaptive model instance is created when you execute a strategy containing the adaptive model component.
The adaptive model component references an adaptive model rule that defines the predictors and the outcome of the model. The adaptive model instance stores the data and the statistics of the model for a specific context and action. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
NEW QUESTION # 21
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 # 22
A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
- A. A sentiment analysis model
- B. A list of business rules
- C. The output of an expert survey
- D. A list of valid categories
Answer: D
Explanation:
Explanation
A taxonomy is a list of valid categories that can be used to classify text documents or entities. A taxonomy can be hierarchical or flat, depending on the level of detail required. References:
https://academy.pega.com/module/text-analytics/topic/creating-taxonomy
NEW QUESTION # 23
The likelihood that an action will be accepted by the customer is stored in the Strategy property called_______
- A. pyPropensity
- B. pyProbability
- C. pyBehavior
- D. pyLikelihood
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 # 24
A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?
- A. two
- B. one
- C. three
- D. twelve
Answer: C
Explanation:
Explanation
If a strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group and would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy, the minimum number of Proposition Data components he needs to use in his strategy is three.
NEW QUESTION # 25
Which adaptive model output is automatically mapped to a strategy property?
- A. Score
- B. Performance
- C. Evidence
- 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 # 26
Acquiring new customers can be more costly than retaining active customers. U+ Bank uses Pega Customer Decision Hub for its customer engagement and wants to reduce the churn rate by identifying high churn risk customers and making them a retention offer.
To meet this requirement, which two artifacts created by a data scientist allow the NBA specialist to implement the decision strategy? (Choose Two)
- A. A control group
- B. A prediction
- C. A predictive model
- D. An adaptive model
Answer: A,C
Explanation:
Explanation
According to the Data Scientist Student Guide1, page 18, the correct answer is B. A predictive model and C. A control group. A predictive model is a mathematical representation of a real-world process that can be used to predict an outcome based on input data. A control group is a subset of customers who are not exposed to a treatment (such as an offer) and are used to measure the effectiveness of the treatment by comparing their behavior with the treated group.
NEW QUESTION # 27
Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. When using machine learning,
- A. keywords have a higher impact on the model than the training data
- B. the keywords are ignored
- C. the Must keywords function as positive features
- D. the Must keywords are required to detect the topic
Answer: C
Explanation:
Explanation
When using machine learning, the Must keywords function as positive features.
NEW QUESTION # 28
The use of an imported third-party model in a decision strategy is____
- A. Only possible after conversion into a Pega machine learning model
- B. Only possible after conversion into Pega markup language
- C. Identical to the use of an adaptive model
- D. Similar to the use of a model built with Pega machine learning
Answer: D
Explanation:
Explanation
The use of an imported third-party model in a decision strategy is similar to the use of a model built with Pega machine learning. You can use a predictive model component in a decision strategy to reference an imported third-party model and pass the input parameters and receive the output score. You do not need to convert the third-party model into a Pega machine learning model or Pega markup language. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
NEW QUESTION # 29
Which statement about predictive models is true?
- A. Predictive models need to be specified in a data attribute
- B. Predictive models are always associated with an action
- C. Predictive models need historical data to be created
- D. Predictive models need unstructured bie data
Answer: C
Explanation:
Explanation
Predictive models need historical data to be created. Predictive models are statistical models that use historical data to learn patterns and trends and make predictions for future outcomes. Predictive models can be built with Pega machine learning or imported from third-party tools such as PMML or H2O. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
NEW QUESTION # 30
In a decision strategy, to remove propositions based on the current month, you use a
- A. Calendar strategy property
- B. Data Strategy property
- C. Filter component
- D. Calendar component
Answer: D
Explanation:
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-
NEW QUESTION # 31
MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub. Which three of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)
- A. Retail store
- B. SMS
- C. Billboard on the company building
- D. Call center
- E. Traditional television advertisements
Answer: A,B,D
Explanation:
Explanation
Call center, SMS, and Retail store Reference:
MyCo can use Call center, SMS, and Retail store as real-time channels to present Next-Best-Actions.
NEW QUESTION # 32
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. absent
- B. negative
- C. defensive
- D. offensive
Answer: B
Explanation:
Explanation
Sentiment refers to the general attitude of the author towards a subject and can be negative.
NEW QUESTION # 33
U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?
- A. Pega machine learning model
- B. Decision table
- C. When rule
- D. Adaptive model
Answer: D
Explanation:
Explanation
Given the scenario where U+ Bank introduces a new credit card that has no historical customer behavior data and wants to offer this credit card on the personalized web portal, you must use an adaptive model.
NEW QUESTION # 34
Which statement about the expected performance of a binary model is correct?
- A. The expected performance must be set before the model can be deployed
- B. It is an optional field
- C. The expected performance is calculated automatically when using Pega machine learning
- D. The expected performance of a binary model can range from 0 to 100
Answer: A
Explanation:
Explanation
The expected performance of a binary model must be set before the model can be deployed.
NEW QUESTION # 35
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The PEGACPDS88V1 certification exam covers a wide range of topics related to data science, machine learning, and Pega's predictive analytics tools. It requires a solid understanding of data exploration, data visualization, statistical analysis, and predictive modeling. Individuals who pass the exam demonstrate their ability to use Pega's tools to build predictive models, identify patterns in data, and make data-driven decisions.
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