PEGACPDS24V1 Verified 2026 Edition

Certified Pega Data Scientist (PEGACPDS24V1)Practice Test

Master the Certified Pega Data Scientist (PEGACPDS24V1) with the official PlanetCert Practice Test. Access real exam questions, professional-grade detailed explanations, and our advanced adaptive simulator. Pass your certification exam on the first attempt.

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Exam Information

Official specifications published by Pegasystems

Exam Format

90 min
50
70%
Beginner

Registration

$190 USD
Pearson VUE or online proctoring
English

PEGACPDS24V1 Exam Topics and Domains

PEGACPDS24V1 is organized into 7 weighted domains. Expect to work with Prediction Studio, Customer Decision Hub, Pega Platform, Adaptive Decision Manager, and more.

1

AI for Customer Decision Hub

8%

Customer Decision Hub overview

Next-Best-Action paradigm and the CDH decisioning framework

Describe how AI powers Next-Best-Action decisions in Customer Decision Hub

Customer Decision Hub predictions

Out-of-the-box CDH predictions and their role in arbitration

Explain how CDH predictions influence real-time action selection

2

Adaptive Analytics

22%

Adaptive models

How adaptive models self-learn from customer responses
  • Explain how adaptive models learn continuously from responses
  • Configure adaptive model settings

Monitoring adaptive models

Interpreting adaptive model reports and predictor performance

Monitor adaptive model performance and predictor contribution

Exporting adaptive model data

Exporting adaptive model learning data for offline analysis

Export adaptive model data for external review

3

Predictive Analytics

26%

Creating predictions

Building predictions in Prediction Studio

Create predictions that drive case management and 1:1 engagement

MLOps

Managing the prediction/model lifecycle with MLOps

Use MLOps to test, approve, and deploy model updates safely

4

Prediction Patterns

20%

Creating and understanding decision strategies

Building decision strategies with the strategy canvas

Design decision strategies that combine business rules and AI

Defining prediction patterns

Applying prediction patterns within strategies and predictions

Define prediction patterns that connect strategies, models, and outcomes

5

Governance

2%

Governance

Ethical, transparent, and compliant use of AI

Apply governance controls for responsible and transparent AI

6

Pega Process AI

8%

Pega Process AI overview

Applying AI to case management and workflows

Describe how Pega Process AI applies predictions to workflows

Predicting fraud

Building a fraud prediction for case routing

Configure a prediction to detect potential fraud in a case

Predicting missing the Service-Level-Agreement

Predicting SLA breaches to prioritize work

Configure a prediction that anticipates SLA breaches

7

Pega NLP

14%

Pega NLP overview

Text analytics fundamentals in Pega

Describe Pega NLP capabilities and how text models are trained

Text analytics for email routing

Routing inbound email using topic and sentiment detection

Configure NLP-driven routing for inbound email

Using entity extraction with chatbot channel

Extracting entities in the Pega chatbot (Digital Messaging)

Configure entity extraction to support chatbot interactions

How do I earn this certification?

Passing PEGACPDS24V1 earns the Certified Pega Data Scientist certification. It sits in the Data Scientist / Decisioning track.

Next Level Options
PEGACPLSA (Lead Decisioning Architect track) - Certified Pega Lead Decisioning Architect Deeper architectural mastery of Customer Decision Hub after the data-science foundation

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How to study for this exam?

The most effective way to prepare for PEGACPDS24V1 is by using the PlanetCert Simulator to practice questions and review detailed explanations.

What's changed on this exam?

Current Status
ACTIVE
Updates
Pega Customer Decision Hub '24.2 This exam version is scoped to CDH '24.2 features across Prediction Studio, ADM, decision strategies, Process AI, and Pega NLP.

Who should take this exam?

  • Complete the Data Scientist mission on Pega Academy (MIS20301, ~17 hrs 15 mins)

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