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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

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

2. The implementation of Next-Best-Action must involve

A) defining a prioritization formula using contact policies
B) defining business issue and group hierarchy
C) building a product catalog
D) inclusion of third party predictive models

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) Absent
C) Defensive
D) Offensive

4. U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.
As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.

A) Pegs machine learning model
B) Text extraction model
C) Text categorization model
D) Adaptive model

5. From two chum models with the similar performance, we choose the one with the________________.

A) fewest number of predictors
B) most evidence
C) highest churn rate
D) highest number of predictors

Solutions: