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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Data Understanding | - Data sources and data types in Pega - Exploratory data analysis concepts |
| Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
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. customer contact rules
- C. product eligibility rules
- D. product compatibility rules
Correct Answer: C 🗳️
When selecting the list of predictors for an adaptive model you should
- A. consider a wide range of properties
- B. select at least one date property
- C. select up to a maximum of 500 predictors
- D. always use numeric type for integer properties
Correct Answer: C 🗳️
A Scoring Model allows you to differentiate between
- A. Accept, Reject, Maybe Later
- B. Good, Bad
- C. Good, Bad, Unknown
- D. Good, Better, Best
Correct Answer: B 🗳️
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. Classification
- C. Word count
- D. Cross reference analysis
Correct Answer: B 🗳️
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. Text extraction model
- B. Pegs machine learning model
- C. Text categorization model
- D. Adaptive model
Correct Answer: B 🗳️
