Pegasystems PEGAPCDS87V1 Exam Details & Actual Exam Questions
- Exam Code/Number: PEGAPCDS87V1
- Exam Name/Title: Pega Certified Data Scientist (PCDS) 87V1
- Certification Provider: Pegasystems
- Corresponding Certification: Pega PCDS
- Exam Questions: 50
- Updated On: Sep,01 2026
- Certification Level: Professional
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Exam Questions
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(45 Up Votes)Pegasystems PEGAPCDS87V1 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Pega Certified Data Scientist (PCDS) Exam 87V1 |
| Exam Number: | PEGAPCDS87V1 |
| Related Certifications: | Pega Certified Decisioning Consultant Pega Certified System Architect (CSA) |
| Real Exam Qty: | Approximately 60 |
| Exam Format: | Proctored online exam, Multiple choice |
| Exam Price: | USD 175 (may vary by region) |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Recommended Training: | Pega Academy Training |
| Exam Registration: | Pega Certification Registration |
| Sample Questions: | Pegasystems PEGAPCDS87V1 Sample Questions |
| Exam Way: | Online proctored exam via Pega Academy or authorized testing provider |
| Pre Condition: | Recommended: Experience with Pega Platform and basic knowledge of data science concepts. Prior certification such as Pega CSA is beneficial but not strictly required. |
| Official Syllabus URL: | https://academy.pega.com/ |
Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Sets and Integration | - External data integration with Pega platform - Data flows and dataset configuration |
| Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Data Preparation | - Data cleansing and transformation - Feature engineering for predictive models |
| Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
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