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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics | 25% | - Prediction Studio usage - Importing and validating PMML/external models - Model evaluation metrics (AUC, lift, propensity) |
| Topic 2: Model Governance & Ethics | 5% | - Bias detection and compliance - AI governance framework |
| Topic 3: Decision Strategies & Next-Best-Action | 20% | - Core decisioning principles - Arbitration and prioritization logic - Designing and testing decision strategies |
| Topic 4: Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
| Topic 5: Adaptive Analytics | 28% | - Configuring and tuning predictors - Model performance monitoring and diagnostics - Adaptive Decision Manager (ADM) concepts |
| Topic 6: AI & Natural Language Processing | 12% | - Sentiment analysis and text processing - Pega NLP fundamentals |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
According to Forrester, it is far more expensive to attract new customers than it is to prevent existing customers from leaving.
Which model type do you use to predict if a customer is likely to churn?
- A. Predictive model
- B. Extraction model
- C. Adaptive model
- D. Categorization model
Correct Answer: A 🗳️
As a Data Scientist you want to use a predictive model to detect potential churn for a telco company .
Which three options do you have? (Choose Three)
- A. Create a Text extraction model
- B. Use Pega machine learning to build a model
- C. Import a third party PMML model
- D. Create an adaptive self-learning model
- E. Use a Google ML model
Correct Answer: A,B,C 🗳️
You are a company with a new and unique product, and you want to offer it to the right customer.
Given the scenario, which rule type should you use?
- A. Decision Table
- B. Scorecard
- C. Adaptive Model
- D. Predictive Model
Correct Answer: A 🗳️
U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.
As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.
- A. Text extraction model
- B. Text categorization model
- C. Adaptive model
- D. Pegs machine learning model
Correct Answer: D 🗳️
A Text Analyzer performs natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What type of text analysis does the text analyzer perform?
- A. Word count
- B. Word analysis
- C. Classification
- D. Cross reference analysis
Correct Answer: C 🗳️
Honey 
Jenny 
Georgia 
Arabela 
Darren 
Aldrich 
Chasel 
Nelson 
Les 
Vivian 
Alva 
Nora 
Webster 
Alberta 
Clara 
Adrian 
Page 
Nelson 
Victoria 
Gladys 
