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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Governance & Ethics | 5% | - Bias detection and compliance - AI governance framework |
| Adaptive Analytics | 28% | - Adaptive Decision Manager (ADM) concepts - Configuring and tuning predictors - Model performance monitoring and diagnostics |
| Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
| Predictive Analytics | 25% | - Model evaluation metrics (AUC, lift, propensity) - Prediction Studio usage - Importing and validating PMML/external models |
| Decision Strategies & Next-Best-Action | 20% | - Arbitration and prioritization logic - Core decisioning principles - Designing and testing decision strategies |
| AI & Natural Language Processing | 12% | - Sentiment analysis and text processing - Pega NLP fundamentals |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. A company wants to capture the sentiment of relevant Twitter messages to allow its customer service representatives to concentrate only on the negative messages.
Sentiment refers to the general attitude of the author towards a subject and can be____________.
A) Offensive
B) Absent
C) Positive
D) Defensive
2. From two chum models with the similar performance, we choose the one with the________________.
A) highest churn rate
B) highest number of predictors
C) fewest number of predictors
D) most evidence
3. When executing a decision strategy, the dotted line arrow in a decision strategy means data is_____________?
A) referenced by the component the arrow points to
B) referenced by the component the arrow originates from
C) copied to the component the arrow originates from
D) copied to the component the arrow points to
4. 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) enables the company to generate random data for most of its application needs
C) combines external data sets into a larger data set
D) makes the organisation's live data accessible
5. The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.
A) differentiate between good, better and best
B) predict continuous behavior
C) predict binary behavior
D) score different propositions
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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