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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

1. 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) Text categorization model
B) Text extraction model
C) Adaptive model
D) Predictive model

2. Which Adaptive Model output is automatically mapped to a strategy property?

A) propensity
B) performance
C) evidence
D) score

3. A company wants to capture the sentiment of relevant Twitter messages to allow its customer service representatives to concentrate only on the negative messages.
Sentiment refers to the general attitude of the author towards a subject and can be____________.

A) Positive
B) Defensive
C) Offensive
D) Absent

4. 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) Create a Text extraction model
B) Import a third party PMML model
C) Use a Google ML model
D) Create an adaptive self-learning model
E) Use Pega machine learning to build a model

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

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

Solutions: