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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Adaptive Analytics | 28% | - Configuring and tuning predictors - Adaptive Decision Manager (ADM) concepts - Model performance monitoring and diagnostics |
| Topic 2: AI & Natural Language Processing | 12% | - Sentiment analysis and text processing - Pega NLP fundamentals |
| Topic 3: Decision Strategies & Next-Best-Action | 20% | - Designing and testing decision strategies - Core decisioning principles - Arbitration and prioritization logic |
| Topic 4: Model Governance & Ethics | 5% | - Bias detection and compliance - AI governance framework |
| Topic 5: Predictive Analytics | 25% | - Importing and validating PMML/external models - Model evaluation metrics (AUC, lift, propensity) - Prediction Studio usage |
| Topic 6: Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
- A. The output of an expert survey
- B. A list of business rules
- C. A sentiment analysis model
- D. A list of valid categories
Correct Answer: D 🗳️
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 number of customers who have responded to the modeled offer
- B. The number of statistical bins used to evaluate the response
- C. The number of customers who exhibited statistically similar behavior
- D. The likelihood of a statistically similar behavior
Correct Answer: A 🗳️
From two chum models with the similar performance, we choose the one with the________________.
- A. highest number of predictors
- B. fewest number of predictors
- C. most evidence
- D. highest churn rate
Correct Answer: D 🗳️
The process of importing a third-party predictive model into Pega is_____________?
- A. similar to importing an adaptive model
- B. to first convert it into the Pega markup language
- C. the; same as importing a Pega predictive model
- D. simpler than importing a Pega predictive model
Correct Answer: B 🗳️
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. 1-0
- B. 0.5
- C. 0.0
- D. null
Correct Answer: C 🗳️
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