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Pegasystems PEGAPCDS87V1 Exam Overview:
| Certification Vendor: | Pegasystems |
| Exam Name: | Pega Certified Data Scientist (PCDS) 87V1 |
| Exam Number: | PEGAPCDS87V1 |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple-choice, Scenario-based |
| Related Certifications: | Pega Certified Decisioning Consultant (PCDC) 87V1 |
| Real Exam Qty: | 50 |
| Available Languages: | English |
| Certificate Validity Period: | No fixed expiration; valid until version retirement |
| Exam Price: | USD 175–250 (varies by region) |
| Recommended Training: | Customer Decision Hub Implementation Essentials of Pega Data Scientist |
| Exam Registration: | Pega Academy Exam Page Pearson VUE Registration |
| Sample Questions: | Pegasystems PEGAPCDS87V1 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No formal mandatory prerequisites; recommended: strong data science/statistics knowledge, familiarity with Pega Customer Decision Hub, hands-on Pega Platform experience |
| Official Syllabus URL: | https://academy.pega.com/exam/pega-certified-data-scientist-2 |
Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Adaptive Analytics | 28% | - Adaptive Decision Manager (ADM) concepts - Configuring and tuning predictors - Model performance monitoring and diagnostics |
| Model Governance & Ethics | 5% | - AI governance framework - Bias detection and compliance |
| Decision Strategies & Next-Best-Action | 20% | - Arbitration and prioritization logic - Core decisioning principles - Designing and testing decision strategies |
| AI & Natural Language Processing | 12% | - Pega NLP fundamentals - Sentiment analysis and text processing |
| Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
| Predictive Analytics | 25% | - Importing and validating PMML/external models - Prediction Studio usage - Model evaluation metrics (AUC, lift, propensity) |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. 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) Predictive Model
B) Decision Table
C) Scorecard
D) Adaptive Model
2. The implementation of Next-Best-Action must involve
A) defining business issue and group hierarchy
B) building a product catalog
C) defining a prioritization formula using contact policies
D) inclusion of third party predictive models
3. An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website.
A customer's propensity to accept an offer increases when___________________. .
A) similar offers were accepted by the customer
B) the offer was accepted by similar customers
C) the offer was rejected by similar customers
D) similar offers were rejected by the customer
4. 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) score different propositions
C) predict binary behavior
D) predict continuous behavior
5. In a decision strategy, in order to select the proposition with the highest propensity, you use a
A) Priorities component, and sort propensity from lowest to highest
B) Priorities component, and sort propensity from highest to lowest
C) Switch component, and sort propensity from highest to lowest
D) Switch component, and sort propensity from lowest to highest
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
By Tony
