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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Adaptive Analytics | 28% | - Configuring and tuning predictors - Adaptive Decision Manager (ADM) concepts - Model performance monitoring and diagnostics |
| Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
| Model Governance & Ethics | 5% | - AI governance framework - Bias detection and compliance |
| Decision Strategies & Next-Best-Action | 20% | - Arbitration and prioritization logic - Designing and testing decision strategies - Core decisioning principles |
| AI & Natural Language Processing | 12% | - Pega NLP fundamentals - Sentiment analysis and text processing |
| Predictive Analytics | 25% | - Prediction Studio usage - Model evaluation metrics (AUC, lift, propensity) - Importing and validating PMML/external models |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.
The Monte Carlo method________________
A) generates data that the company can use as input for adaptive decisioning
B) combines external data sets into a larger data set
C) enables the company to generate random data for most of its application needs
D) makes the organisation's live data accessible
2. The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.
A) predict continuous behavior
B) score different propositions
C) predict binary behavior
D) differentiate between good, better and best
3. 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) A list of business rules
B) A sentiment analysis model
C) The output of an expert survey
D) A list of valid categories
4. A Scoring Model allows you to differentiate between
A) Accept, Reject, Maybe Later
B) Good, Bad
C) Good, Bad, Unknown
D) Good, Better, Best
5. Many companies already use third-part predictive models and want to reuse these assets in the Pega Decision Management tandscape.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?
A) Filter
B) Adaptive Model
C) Champion Challenger
D) Switch
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |







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