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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:

1. A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?

A) The output of an expert survey
B) A list of valid categories
C) A list of business rules
D) A sentiment analysis model

2. When building a predictive model, what is a valid predictor data type?

A) Boolean
B) Symbolic
C) String
D) Character

3. To which property is the output of a PMML model automatically mapped?

A) pxResult
B) pxOutcome
C) pxPMMLOutputd
D) pxSegment

4. 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) business levers
B) product compatibility rules
C) customer contact rules
D) product eligibility rules

5. A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.
What do you need to analyze the incoming messages?

A) Predictive model
B) Text categorization model
C) Adaptive model
D) Text extraction model

Solutions: