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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 | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Data Preparation | - Data cleansing and transformation - Feature engineering for predictive models |
| Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
evidence an assessment of its viability, the Adaptive Model produces three outputs:
Propensity, Performance and
What is evidence in the context of an Adaptive Model?
- A. The likelihood of a statistically similar behavior
- B. The number of customers who exhibited statistically similar behavior
- C. The number of customers who have responded to the modeled offer
- D. The number of statistical bins used to evaluate the response
Correct Answer: C 🗳️
What happens when you increase the performance threshold setting of an Adaptive Model rule?
- A. The number of active predictors increases.
- B. The number of active predictors may decrease.
- C. The performance of the model is increased.
- D. The correlation threshold decreases.
Correct Answer: A 🗳️
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. Predictive model
- D. Adaptive model
Correct Answer: B 🗳️
The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.
- A. score different propositions
- B. predict binary behavior
- C. differentiate between good, better and best
- D. predict continuous behavior
Correct Answer: B 🗳️
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 the order in which they are displayed in the strategy canvas
- B. In the order controlled by the contact center agent
- C. In a random order
- D. In ascending or in descending order based on a numerical value
Correct Answer: B 🗳️
