PEGACPDS25V1 Certified Pega Decisioning Consultant 25 Exam Info and Questions Sharing

Understand Pegasystems PEGACPDC25V1 Exam Info

The Certified Pega Data Scientist PEGACPDS25V1 exam is designed to validate the skills required to apply artificial intelligence effectively within Pega Customer Decision Hub and Pega Process AI environments. The Certified Pega Decisioning Consultant certification targets data scientists and decisioning professionals who want to demonstrate their ability to design, build, and apply AI-powered decision strategies in Pega platforms.

Number of Questions: 50
Duration: 1 hour 30 minutes
Passing Score: 70%
Language: English

Master Pegasystems PEGACPDS25V1 Exam Topics

The PEGACPDS25V1 exam objectives are divided into several weighted domains, reflecting the importance of analytics and AI within the Pega ecosystem.

1. AI for Customer Decision Hub (6%)

This section evaluates knowledge of how AI is applied within Pega Customer Decision Hub, including real-time decisioning and personalized customer interactions using the next-best-action framework.

2. Adaptive Analytics (28%)

As the largest portion of the exam, adaptive analytics focuses on:

Adaptive models and learning behavior
Continuous model updates based on customer interactions
Using adaptive analytics to optimize customer decisions in real time

A strong understanding of how adaptive models evolve and improve is essential for success in this area.

3. Predictive Analytics (20%)

This domain covers predictive modeling concepts, including:

Building and evaluating predictive models
Using historical data to forecast customer behavior
Applying predictive insights within Pega decision strategies

Candidates should be comfortable interpreting predictive model outputs and understanding their business impact.

4. Prediction Patterns (18%)

Prediction patterns assess your ability to:

Design and apply prediction patterns
Combine predictive, adaptive, and contextual data
Support next-best-action decisions through structured patterns

This area emphasizes practical usage of predictions in decision flows.

5. Governance (4%)

Governance focuses on responsible AI usage, including:

Model transparency and control
Compliance and governance practices
Managing model lifecycle and performance

Although a smaller percentage, governance is critical for enterprise-level AI deployments.

6. Pega Process AI (10%)

This topic evaluates how AI is applied within business processes, such as:

Case management optimization
Intelligent process automation
Embedding predictions into operational workflows

7. Pega NLP (14%)

Pega NLP tests your understanding of:

Text analytics and natural language processing
Extracting insights from unstructured data
Applying NLP models to customer interactions and cases

Pegasystems PEGACPDS25V1 Exam Preparation Tips

When preparing for the PEGACPDS25V1 Certified Pega Decisioning Consultant 25 exam, candidates should focus on both conceptual understanding and hands-on application of Pega decisioning features. Start by thoroughly reviewing the exam topic weightings, placing extra emphasis on Adaptive Analytics, Predictive Analytics, and Prediction Patterns, as these areas account for the largest portion of the exam. Gain practical experience with Pega Customer Decision Hub by building and testing next-best-action strategies, adaptive models, and predictive models in real or practice environments. It is also important to understand how Pega Process AI and NLP are applied in case management and customer engagement scenarios.

The PEGACPDS25V1 Certified Pega Decisioning Consultant 25 exam is an excellent credential for professionals looking to validate their AI and analytics expertise within the Pega ecosystem. With a strong emphasis on adaptive and predictive analytics, customer decisioning, and real-time AI applications, this certification reflects the skills needed to design intelligent, data-driven customer experiences.