• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  • Exam Code: PEGACPDS23V1
  • Certification Level: Specialist / Professional
  • Exam Duration: 90 minutes
  • Passing Score: 65%
  • Unscored Content: The exam may include experimental questions used by Pega for exam development and research. These questions do not impact the 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, decision strategies, and AI-driven customer engagement solutions within the Pega platform.

Exam Policies

  • Offline Proctoring: Exams must be rescheduled or canceled according to Pearson VUE scheduling policies before the exam appointment.
  • Online Proctoring: Candidates must complete identity verification and meet system requirements before starting the exam.
  • Waiting Period: Candidates must wait before retaking a failed exam according to Pega certification retake policies.
  • Retake Fee: The full exam fee must be paid for each retake attempt.

Certification Validity and Renewal

  • Validity: Pega certifications remain valid until the related platform version is retired or replaced by a newer certification version.
  • Renewal Options: Professionals are encouraged to upgrade certifications by passing the latest version aligned with newer 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 strict prerequisites for taking the Certified Pega Data Scientist 23 exam. However, it is recommended to have:
  • Experience with Pega Customer Decision Hub or Pega Platform
  • Understanding of machine learning concepts and predictive analytics
  • Familiarity with decision strategies, adaptive models, and AI-driven decisioning
  • Knowledge of data analysis, statistics, and model evaluation techniques

Exam Topics

  • Predictive Analytics: Designing predictive models and evaluating model performance
  • Adaptive Analytics: Implementing adaptive models for real-time decisioning
  • Decision Strategies: Creating decision logic for customer engagement optimization
  • AI and Machine Learning in Pega: Applying AI models and automated decisioning techniques
  • Model Governance: Monitoring, managing, and improving predictive models within the Pega platform
For a detailed breakdown and official study guide, feel free to contact us!

Intended Audience

The Certified Pega Data Scientist 23 certification is ideal for professionals working with analytics and AI-driven decisioning systems, including roles such as:
  • Data Scientist
  • Decisioning Specialist
  • Pega Decisioning Architect
  • AI and Analytics Engineer
  • Customer Decision Hub Developer

Career Impact

Jobs You Can Get:

  • Data Scientist, Decisioning Architect, Machine Learning Engineer, Analytics Specialist, Customer Decision Hub Developer
Average Salary: Varies by country —
  • 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:

  • Validates expertise in applying AI-driven analytics and decision strategies using Pega technology widely used for personalized customer engagement in large enterprises.

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

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

Prepare with actual exam questions

To strengthen your knowledge and approach exam day with confidence. We provide practice questions to help you understand the exam format and question patterns.

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    Top Reasons to Choose
    Certified Pega Data Scientist 23

    High Demand for AI-Driven Decisioning Skills

    Organizations increasingly rely on AI and predictive analytics to personalize customer engagement. This certification validates your ability to implement machine learning models and decision strategies using the Pega decisioning platform.

    Practical Skills in Predictive and Adaptive Analytics

    The certification focuses on implementing predictive models, adaptive analytics, and decision strategies that drive real-time customer engagement and data-driven marketing decisions in enterprise environments.

    Career Growth in Data Science and AI Platforms

    As enterprises adopt AI-driven decisioning systems, professionals with expertise in predictive analytics and decision strategies are highly valued across industries implementing advanced customer engagement solutions.

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    FAQ

    • Who should take the Certified Pega Data Scientist 23 exam?

      The Certified Pega Data Scientist 23 exam is designed for professionals responsible for building predictive models and decision strategies within Pega Customer Decision Hub. It is ideal for data scientists, analytics specialists, and decisioning architects who work with machine learning, predictive analytics, and AI-driven customer engagement solutions.

    • How difficult is the Certified Pega Data Scientist 23 exam?

      The exam is considered moderately challenging because it requires knowledge of predictive modeling, adaptive analytics, and decision strategies within the Pega platform. Candidates must understand AI-driven decisioning concepts and model performance evaluation. Hands-on experience with Pega Customer Decision Hub significantly improves the chances of passing the certification.

    • Why does Pega offer the Certified Pega Data Scientist certification?

      Pega offers this certification to validate professionals who can implement AI-driven decisioning solutions using predictive and adaptive analytics. Businesses rely on data-driven insights to improve customer engagement and marketing effectiveness. Certified professionals demonstrate the ability to design decision strategies that optimize customer interactions and business outcomes.

    • What tools and resources can be used to prepare for the exam?

      Candidates can prepare using official Pega Academy learning missions, training modules, and hands-on labs focused on predictive analytics and decision strategies. Practicing with Pega Customer Decision Hub, reviewing platform documentation, and working on real-world decisioning scenarios helps candidates develop the skills needed to successfully pass the exam.

    • 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. Companies using Pega require professionals who can design predictive models, analyze customer data, and implement intelligent decision strategies that optimize marketing campaigns and customer experience initiatives.