Last Updated: Aug 29, 2026
No. of Questions: 50 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics | 25% | - Prediction Studio usage - Model evaluation metrics (AUC, lift, propensity) - Importing and validating PMML/external models |
| Topic 2: Model Governance & Ethics | 5% | - AI governance framework - Bias detection and compliance |
| Topic 3: Adaptive Analytics | 28% | - Model performance monitoring and diagnostics - Adaptive Decision Manager (ADM) concepts - Configuring and tuning predictors |
| Topic 4: Decision Strategies & Next-Best-Action | 20% | - Designing and testing decision strategies - Core decisioning principles - Arbitration and prioritization logic |
| Topic 5: AI & Natural Language Processing | 12% | - Pega NLP fundamentals - Sentiment analysis and text processing |
| Topic 6: Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
Question 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. 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
Question 2
Which data is usually not appropriate to be used as a predictor?
A. Historical interaction data
B. Customer name
C. Customer zip code
D. Usage data
Question 3
A Scoring Model allows you to differentiate between
A. Good, Better, Best
B. Good, Bad, Unknown
C. Good, Bad
D. Accept, Reject, Maybe Later
Question 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. create a Provider
B. add a Field
C. merge customer and credit card data
D. add a Group
Question 5
From two chum models with the similar performance, we choose the one with the________________.
A. fewest number of predictors
B. highest churn rate
C. highest number of predictors
D. most evidence
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: B |
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