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Exam Information
Official specifications published by Pegasystems
Exam Format
90 min
50
70%
Professional
Registration
$190 USD
Pearson VUE or online proctoring
English
Validity
Lifetime (no expiration)
No recertification required - certification does not expire; Optional: Pursue advanced certifications like Lead Decisioning Architect
PEGACPDS88V1 Exam Topics and Domains
PEGACPDS88V1 is organized into 7 weighted domains. Expect to work with Prediction Studio, Pega Customer Service, Pega Process AI, Customer Decision Hub, and more.
1
AI for Customer Decision Hub
6%
Introducing Pega AI to Data Scientists
Next-Best-Action ParadigmPrediction Studio Overview
- Understand Pega's Next-Best-Action paradigm and its application in real-time customer engagement
- Navigate and utilize Prediction Studio for managing prediction lifecycles
- Identify business problems that Pega Customer Decision Hub can solve
2
Adaptive Analytics
28%
Adaptive Model Fundamentals
Predicting Customer Behavior Using Real-Time DataDemonstrating Adaptive Learning
- Explain how adaptive models predict customer behavior using real-time data
- Demonstrate understanding of adaptive learning mechanisms
- Monitor and evaluate adaptive model performance
Monitoring and Optimizing Adaptive Models
Quantifying the Impact of Machine LearningExporting Adaptive Model Data
- Quantify the business impact of machine learning using adaptive analytics
- Monitor adaptive model performance using built-in tools
- Export and analyze adaptive model data for external reporting
3
Predictive Analytics
25%
Building Predictive Models
Creating Models with Historical DataModel Training and Validation
- Build predictive models on historical customer data using Prediction Studio wizard
- Prepare and select appropriate features for model training
- Validate and evaluate predictive model performance
Using Third-Party Predictive Models
Importing External ModelsManaging External Model Lifecycle
- Import and integrate third-party predictive models using PMML
- Manage lifecycle of external models within Pega platform
- Monitor and maintain performance of imported models
4
Prediction Patterns
22%
Understanding Prediction Patterns
Customer Decision Hub Prediction PatternsLeveraging Predictions in Decision Strategies
- Identify and apply appropriate prediction patterns for business use cases
- Leverage predictions within decision strategies for 1:1 customer engagement
- Understand how predictions drive action arbitration
Predictions in Case Management Context
Case Outcome PredictionsCustomer Service Predictions
- Apply predictions to case management scenarios for process optimization
- Use predictions to enhance customer service outcomes
- Understand prediction patterns specific to case and service contexts
5
Governance
3%
Model Governance and Compliance
Model Transparency and ExplainabilityModel Risk Management
- Understand governance requirements for AI models in Pega
- Ensure model transparency and explainability
- Implement risk management practices for predictive models
6
Pega NLP (Natural Language Processing)
8%
Text Analytics Fundamentals
Utilizing Text Analytics for Email RoutingSentiment Analysis
- Utilize text analytics for email routing and classification
- Understand natural language processing capabilities in Pega
- Apply sentiment analysis to customer communications
NLP in Customer Service
Message Analysis and Categorization
- Configure NLP for message analysis in Customer Service
- Implement automated categorization using text analytics
- Extract actionable insights from customer communications
7
Pega Process AI
8%
Process AI Fundamentals
Process Mining and AnalysisGenerating Business Value Through AI
- Understand Pega Process AI capabilities and applications
- Identify business value generation opportunities through AI
- Apply Process AI to optimize workflows and case management
Process Predictions
Predictive Process Analytics
- Apply predictive analytics to process optimization
- Use Process AI predictions to improve business outcomes
- Understand integration between Process AI and prediction capabilities
How do I earn this certification?
Passing PEGACPDS88V1 earns the Certified Pega Data Scientist certification. It sits in the Customer Decision Hub - Data Science track.
Next Level Options
CPLDA - Certified Pega Lead Decisioning ArchitectAdvanced certification requiring PCDS + CPDC
Alternative Paths
- PEGACPDC24V1 - Certified Pega Decisioning ConsultantFocus on decision strategy design and implementation vs data science
- PEGACPSA88V1 - Certified Pega System Architect Platform development focus vs AI/analytics specialization
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for PEGACPDS88V1.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2023-01-01
Updates
- Pega Predictable AI Infinity '25 New AI agent paradigm may influence future exam versions • Release date: 2025-06-01
- Customer Engagement Blueprint CDH '25 GenAI collaboration features complement prediction workflows • Release date: 2025-03-15
- Snowflake and BigQuery Integration CDH '25 Enhanced data integration options for model training • Release date: 2024-09-01
Who should take this exam?
This exam is typically taken by Data Scientists and AI/ML Engineers.
Complete Data Scientist Mission on Pega Academy
- Experience with data science concepts
- Understanding of machine learning fundamentals
- Familiarity with Pega Platform
- Knowledge of customer engagement strategies