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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Decision Strategies & Next-Best-Action | 20% | - Arbitration and prioritization logic - Core decisioning principles - Designing and testing decision strategies |
| Topic 2: Adaptive Analytics | 28% | - Model performance monitoring and diagnostics - Configuring and tuning predictors - Adaptive Decision Manager (ADM) concepts |
| Topic 3: Model Governance & Ethics | 5% | - Bias detection and compliance - AI governance framework |
| Topic 4: Predictive Analytics | 25% | - Importing and validating PMML/external models - Prediction Studio usage - Model evaluation metrics (AUC, lift, propensity) |
| Topic 5: AI & Natural Language Processing | 12% | - Sentiment analysis and text processing - Pega NLP fundamentals |
| Topic 6: Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. When defining outcomes for an Adaptive Model you must define_________________.
A) only negative behavior values
B) behavior values to be ignored
C) one or more positive behavior values
D) positive, negative and neutral behavior values
2. The decision components used on the strategy canvas can be individually configured Which function is available when configuring the Group By component?
A) Multiply
B) Divide
C) True if Some
D) Average
3. In a Prioritize component, the best action can be determined based on the value of
A) Customer.Income
B) Average Margin
C) Propensity
D) Customer,Value
4. A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards.
To extend the customer data model with the credit card product usage data, you need to______________..
A) add a Field
B) create a Provider
C) add a Group
D) merge customer and credit card data
5. 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 an adaptive self-learning model
B) Import a third party PMML model
C) Create a Text extraction model
D) Use a Google ML model
E) Use Pega machine learning to build a model
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: B,C,E |

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