- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: PEGACPDS25V1
- Certification Level: Specialist / Professional
- Exam Duration: 90 minutes
- Passing Score: 65%
- Unscored Content: The exam may include experimental questions used by Pega for exam improvement and statistical analysis. These questions are not identified and do not affect the candidate’s final score.
Exam Details
- Question Types: Multiple choice and scenario-based questions
- Number of Questions: 50 questions
- Hands-On Questions: The exam focuses on real-world scenarios related to predictive modeling, adaptive analytics, and AI-driven decision strategies using Pega Customer Decision Hub.
Exam Policies
- Offline Proctoring: Exams must be rescheduled or canceled according to Pearson VUE policies before the scheduled exam appointment.
- Online Proctoring: Candidates must complete identity verification and meet system requirements before beginning the exam.
- Waiting Period: Candidates who fail an exam must follow Pega certification retake waiting periods before attempting the exam again.
- Retake Fee: The full exam fee must be paid for each retake attempt.
Certification Validity and Renewal
- Validity: Pega certifications generally remain valid until the associated product version is replaced by a newer certification version.
- Renewal Options: Professionals can maintain relevance by upgrading to newer certification versions aligned with updated Pega Platform releases.
Exam Fee
- Base Fee: $190 USD (excluding taxes)
- Taxes: Country-specific VAT may apply
- Example: In India, 18% tax applies, making the total $224.20 USD ($190 + $34.20 tax)
Prerequisites
There are no formal prerequisites for taking the Certified Pega Data Scientist 25 exam. However, it is recommended to have:- Experience with Pega Customer Decision Hub or Pega Platform
- Understanding of machine learning and predictive analytics concepts
- Familiarity with decision strategies, adaptive models, and AI-driven decisioning
- Knowledge of statistics, data analysis, and model evaluation methods
Exam Topics
- Predictive Analytics: Building predictive models and evaluating model performance
- Adaptive Analytics: Implementing adaptive models that continuously learn from customer interactions
- Decision Strategies: Designing decision logic to optimize personalized customer engagement
- AI and Machine Learning in Pega: Applying AI models to support intelligent decisioning
- Model Governance: Monitoring, managing, and improving predictive models within the Pega decisioning environment
Intended Audience
The Certified Pega Data Scientist 25 certification is ideal for professionals responsible for implementing AI-driven decisioning solutions, including roles such as:- Data Scientist
- Decisioning Architect
- AI / Machine Learning Engineer
- Analytics Engineer
- Customer Decision Hub Developer
Career Impact
Jobs You Can Get:
- Data Scientist, Decisioning Architect, Machine Learning Engineer, Analytics Engineer, Customer Decision Hub Developer
- U.S.: $100,000–$140,000 USD
- India: ₹9,00,000–₹20,00,000 INR
- United Kingdom: £50,000–£80,000 GBP
- UAE: 180,000–320,000 AED per year.
Why It’s Valuable:
- Demonstrates expertise in implementing predictive analytics and AI-driven decisioning solutions using Pega technology widely used in banking, insurance, telecommunications, and other enterprise industries.
Exam Mode
The exam is proctored and can be taken either:- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE’s online proctoring system
Exam Booking Link
- Book your Certified Pega Data Scientist 25 Exam via Pearson VUE — Click here (https://www.pearsonvue.com/us/en/pegasystems.html)
Once you pass the exam
- Download your certification from your Pega Profile
- Processing Time: Certification badge and transcript are typically available shortly after passing the exam
- Log in to your Pega Profile
- Navigate to the Certifications section
- Download your certification badge or certificate
Offers
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Top Reasons to Choose
Certified Pega Data Scientist 25
High Demand for AI-Driven Decisioning Skills
Organizations increasingly rely on predictive analytics and AI decisioning to personalize customer experiences. This certification validates your ability to build predictive models and decision strategies using enterprise-grade Pega decisioning technology.Practical Implementation of Predictive and Adaptive Analytics
The certification focuses on real implementation scenarios including predictive modeling, adaptive analytics, decision strategies, and model governance to support intelligent and automated customer engagement.Career Opportunities in Enterprise AI and Analytics Platforms
Enterprises adopting AI-driven marketing and decisioning platforms require skilled professionals who can design predictive models and optimize customer interactions, making this certification valuable for data science and analytics careers.Top Certifications
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FAQ
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Who should take the Certified Pega Data Scientist 25 exam?
The Certified Pega Data Scientist 25 exam is designed for professionals responsible for building predictive models and decision strategies using Pega Customer Decision Hub. It is ideal for data scientists, analytics engineers, and decisioning specialists who work with machine learning and AI-driven decisioning solutions within enterprise customer engagement platforms.
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How difficult is the Certified Pega Data Scientist 25 exam?
The exam is considered moderately challenging because it requires understanding predictive analytics, adaptive modeling, and decision strategies in the Pega platform. Candidates must understand machine learning concepts, model evaluation techniques, and decision logic design. Hands-on experience with Pega Customer Decision Hub significantly improves the chances of passing the exam successfully.
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Why does Pega offer the Certified Pega Data Scientist certification?
Pega offers this certification to validate professionals who can design and implement AI-driven decisioning systems using predictive and adaptive analytics. Organizations rely on data-driven insights to personalize customer engagement, optimize marketing campaigns, and improve customer experiences. Certified professionals demonstrate the ability to implement intelligent decision strategies that support business growth.
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What tools and resources can be used to prepare for the exam?
Candidates can prepare using official Pega Academy learning missions, instructor-led training, and hands-on labs focused on predictive analytics and decision strategies. Practicing with Pega Customer Decision Hub, reviewing platform documentation, and building predictive models help candidates develop the skills needed to successfully pass the certification exam.
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Is the Certified Pega Data Scientist certification valuable in 2026?
Yes, the certification remains valuable in 2026 as organizations increasingly adopt AI-driven decisioning platforms to improve customer engagement and business outcomes. Enterprises using Pega require professionals who can design predictive models, analyze customer behavior, and implement intelligent decision strategies that optimize marketing performance and customer experience initiatives.
