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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Predictive Analytics | - Predictive model types in Pega (classification, regression) - Model training and evaluation |
| Topic 2: Data Understanding | - Data sources and data types in Pega - Exploratory data analysis concepts |
| Topic 3: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 4: Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Topic 5: Data Preparation | - Data cleansing and transformation - Feature engineering for predictive models |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
Question #1
In a Set Property component, the Rank value is determined by______________.
A. the default value of the Rank
B. the data transform
C. the sequence in which it appears on the canvas
D. the order in which the actions are received
Question #2
To enable an assessment of its reliability, the Adaptive Model produces three outputs:
Propensity. Performance and Evidence.
The performance of an Adaptive Model that has not collected any evidence is_____________________.
A. 0.5
B. 0.0
C. null
D. 1-0
Question #3
Which Adaptive Model output is automatically mapped to a strategy property?
A. score
B. performance
C. propensity
D. evidence
Question #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 controlled by the contact center agent
D. In the order in which they are displayed in the strategy canvas
Question #5
A company wants to create a data set that includes mock-up customer add Which method is available to populate these fields?
A. Bayesian
B. Propensity
C. Monte Carlo
D. Import
Solutions:
| Question #1 Answer: A | Question #2 Answer: B | Question #3 Answer: D | Question #4 Answer: C | Question #5 Answer: C |
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