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2. Pega Data Scientist Exam Summary:
Vendor Pega
Exam Code CPDS
Full Exam Name Pega Certified Data Scientist
Number of Questions 50
Sample Questions Pega PEGACPDS88V1 Exam Sample Questions and
Answers
Practice Exam Pega Certified Data Scientist (CPDS) Practice Test
Passing Score 70%
Time Limit 90 Minutes
Exam Fee USD $175
3. CPDS Certification Syllabus Content:
Syllabus Topics: Weights
AI for Customer Decision Hub 6%
Adaptive Analytics 28%
Predictive Analytics 25%
Prediction Patterns 22%
Governance 3%
Pega NLP 8%
Pega Process AI 8%
4. CPDS Study Guide:
● Know about Pega Data Scientist book details.
● Go through Pega CPDS exam syllabus.
● Go through Pega Data Scientist sample questions.
This will give you a clear idea about the real exam.
● Enroll for CPDS practice test on
ProcessExam.com.
● Identify your weak areas from CPDS sample exam
and do more practice with system.
6. Que.: 1. What is the difference between classification and
regression in Predictive Analytics?
Options:
a) Classification is used for predicting continuous outcomes, while regression is
used for predicting categorical outcomes
b) Classification is used for predicting categorical outcomes, while regression is
used for predicting continuous outcomes
c) Classification and regression are the same thing
d) Neither classification nor regression are used in Predictive Analytics
7. Answer:
b) Classification is used for
predicting categorical
outcomes, while regression
is used for predicting
continuous outcomes
8. Que.: 2. In a decision strategy, which component is
required to enable access to proposition properties?
Options:
a) Proposition Data
b) Data Include
c) Data Join
d) Property Import
10. Que.: 3. Which of the following is NOT a use case for
NLP in Pega?
Options:
a) Sentiment analysis
b) Text classification
c) Speech recognition
d) Entity extraction
12. Que.: 4. You are a company with a new and unique product,
and you want to offer it to the right customer. Given the
scenario, which rule type should you use?
Options:
a) Scorecard
b) Adaptive Model
c) Predictive Model
d) Decision Table
14. Que.: 5. How can Adaptive Analytics models be deployed in
production environments?
Options:
a) Manually copying and pasting the code into a production system
b) Ignoring production deployment and only using models for offline analysis
c) Only deploying models in a sandbox environment
d) Using a software development process to test and deploy models
15. Answer:
d) Using a software
development process
to test and deploy
models
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