Certified Pega Data Scientist PEGACPDS24V1 PDF Questions

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Pegasystems PEGACPDS24V1 Exam
Certified Pega Data Scientist
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1.The Prioritize component always outputs __________.
A. on arbitrary number of offers
B. top 1 offer
C. top 3 offers
D. all eligible offers
Answer: D
2.An Adaptive model component in a decision strategy can output ____________.
A. an optimized strategy
B. the customer's propensity to accept an action
C. the number of customers eligible for an action
D. an action
Answer: B
3.A data scientist and an application developer must configure a chatbot to improve customer service
response time. The application developer created the digital messaging channel.
What is the next step for the data scientist?
A. Create a new text prediction and associate it with the digital messaging channel that the application
developer creates.
B. Create and train a new text prediction and inform the application developer.
C. Modify pySystemEntities model to meet business needs, and then associate it with the digital
messaging channel that the application developer created.
D. Train the text prediction that the system generates.
Answer: D
4.A coffee company wants to create a data set that includes mock up customer address information and
the likelihood to churn.
Which method is available to populate these fields?
A. Bayesian
B. Propensity
C. Expression
D. Import
Answer: C
5.What is entity extraction in NLP?
A. The process of identifying the subject of a sentence
B. The process of identifying the sentiment of a sentence
C. The process of identifying the action that a user intends to take based on their input
D. The process of identifying specific entities or objects mentioned in a sentence, such as people, places,
and organizations
Answer: D
6.An application developer and a data scientist are working together on a chatbot project. They want the
chatbot to detect that the customer wants to change the account home address.
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To achieve this goal, the chatbot must:
- Detect the topic of the message
- Run the correct case type
- Extract 2 entities: new address and account number.
What main tasks must they do to achieve this business scenario? (Choose Three)
A. The application developer creates the digital messaging channel.
B. The application developer creates the case type and designs the conversation flow.
C. The data scientist uses the entity extraction model from pySystemEntities model and trains the topic
detection model.
D. The data scientist creates the text prediction and builds one topic detection and two entity extraction
models.
E. The data scientist trains the text prediction: One topic detection model and several entity extraction
models.
Answer: ABE
7.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. Adaptive model
B. Pega machine learning model
C. When rule
D. Decision table
Answer: A
8.As a data scientist, you want to export the model data and the predictor data for the Credit Cards group
from the Grow business issue for further analysis. You are tasked to modify the data flow that selects the
correct data. Match the data flow component to the function it achieves.
Answer:
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9.What is Adaptive Analytics?
A. A statistical technique for analyzing data
B. A machine learning algorithm for predicting future outcomes
C. A flexible approach to data analysis that can adapt to changing business needs and data environments
D. A software application for managing business workflows
Answer: C
10.You can use various data types in adaptive analytics. Some of these require preprocessing before
being used as a potential predictor. Others can be used directly.
Which two data types require no preprocessing? (Choose Two)
A. Event stream data, such as recent transactions
B. Symbolic data with up to 200 distinct values, such as products bought previously
C. Text data such as Twitter messages
D. Dates with absolute time/date values, such as birthdays
E. Numeric data such as customer age and income
Answer: DE
11.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. Group by
B. Prioritize
C. Filter
D. Set property
Answer: D
12.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. Actions that are offered so often that they dominate other actions
B. Actions that have a low number of responses
C. Actions for which the model is not predictive
D. Predictors with a low performance_________
E. Predictors that are never used
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Answer: AD
13.What are the benefits of using Predictive Analytics?
A. Faster insights from data
B. More accurate predictions
C. Increased agility in responding to changing business needs
D. Improved customer service
Answer: B
14.You have created a predictive model using R and have exported it to Predictive Model Markup
Language (PMML).
Which component in a decision strategy do you use to leverage the PMML model?
A. Third-party model
B. Predictive model
C. Scorecard model
D. Decision tree
Answer: B
15.The purpose of predictions is to______________
A. monitor the success rate of individual actions
B. add predictors to adaptive models
C. build adaptive models
D. add best data scientist practices to adaptive models
Answer: D
16.What are two results of an Adaptive Model? (Choose Two)
A. Priority
B. Propensity
C. Segment
D. Performance
Answer: CD
17.U+ Bank, a retail bank, recently implemented a project in which credit card offers are presented to
qualified customers when they log in to the web self-service portal. The bank does not want any bias
except to satisfy the eligibility condition Age >=18.
As a decisioning consultant, how do you configure the ethical bias policy to allow a minimum bias on age?
A. 0.7 Gini
B. 0.1 Gini
C. No detection
D. 0 Gini
Answer: B
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