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Cracked PCDS Version 8.7 PEGAPCDS87V1 Real Exam Questions

Jul 20,2022

New Pegasystems PCDS Version 8.7 PEGAPCDS87V1 real exam questions have been cracked, which are valuable for you to study for PEGAPCDS87V1 test. The Certified Pega Data Scientist certification PEGAPCDS87V1 exam is for data scientists who wish to acquaint themselves with the skills and knowledge needed to successfully apply AI in Pega Process AI, Pega Customer Decision Hub and Pega Customer Service. Pegasystems PEGAPCDS87V1 exam related information is also helpful in the preparation. 

Cracked PCDS Version 8.7 PEGAPCDS87V1 Real Exam Questions

PCDS Version 8.7 PEGAPCDS87V1 Exam

The PCDS Version 8.7 certification ensures you become familiar with Pega’s next-best-action paradigm, have the skills to build predictions that use predictive, adaptive and text analytics models.
Number of questions: 50
Duration: 90 minutes
Passing Score: 70%
Language: English

Pegasystems PEGAPCDS87V1 Exam Topics

The following are the details of Pegasystems PCDS Version 8.7 PEGAPCSA87V1 exam topics. 

PCDS Version 8.7 PEGAPCDS87V1 Exam Topics

Share Pegasystems PEGAPCDS87V1 Real Exam Questions

Pegasystems PEGAPCDS87V1 real exam questions are the best material for you to test the above Pega Certified Data Scientist (PCDS) 87V1 PEGAPCDS87V1 topics. Share some PCDS Version 8.7 PEGAPCDS87V1 real exam questions below. 
1.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 eligibility rules
B. customer contact rules
C. product compatibility rules
D. business levers
Answer: A

2.A Text Analyzer performs natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports. What type of text analysis does the text analyzer perform?
A. Word analysis
B. Word count
C. Classification
D. Cross reference analysis
Answer: C

3.Which data is usually not appropriate to be used as a predictor?
A. Customer zip code
B. Historical interaction data
C. Customer name
D. Usage data
Answer: A

4.A contact center application recommends three actions for a customer. The business team wants to know the possible ways in which these actions can be ordered so that the contact center agent can discuss one proposition at a time, starting from the top. As a strategy designer, if you use a Prioritize component to order the actions, what are your options?
A. In a random order
B. In ascending or in descending order based on a numerical value
C. In the order in which they are displayed in the strategy canvas
D. In the order controlled by the contact center agent
Answer: D

5.As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)
A. Import a third party PMML model
B. Use a Google ML model
C. Create a Text extraction model
D. Create an adaptive self-learning model
E. Use Pega machine learning to build a model
Answer: B,C,E

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