Pegasystems PEGAPCDS87V1 is an exam designed for professionals who want to become a certified data scientist. PEGAPCDS87V1 exam is specifically tailored to test the knowledge and skills required to work with Pega’s AI and machine learning technologies. Passing PEGAPCDS87V1 exam will earn the candidate the title of Pega Certified Data Scientist (PCDS) 87V1.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist-2
The PCDS 87V1 certification exam covers a range of topics that are essential for data scientists who work with Pega’s software. These topics include data preparation and analysis, machine learning, predictive modeling, and data visualization. PEGAPCDS87V1 exam is designed to test the candidate’s knowledge and skills in each of these areas, and to demonstrate their ability to use Pega’s software tools to solve real-world business problems.
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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
| Next-Best-Action Concepts | - Core decisioning principles
- 1. Introducing Pega to data scientists
- 2. Understanding the next-best-action paradigm
|
| Predictive Analytics | - Creating predictive models
- 1. Building predictive analytics models
- 2. Updating predictions with MLOps practices
|
| Text Analytics / NLP | - Leveraging text analytics
- 1. Applying NLP outputs within decision strategies
- 2. Using text analytics for email routing
|
| Pega Process AI | - Process AI fundamentals
- 1. Using Process AI for case completion predictions
- 2. Creating predictions for fraud detection
|
| Decision Strategies | - Developing and evaluating decision strategies
- 1. Arbitrating between customer actions
- 2. Understanding decisioning logic
|
| Adaptive Analytics | - Adaptive model usage
- 1. Predicting customer behaviour using real-time data
- 2. Monitoring adaptive learning outcomes
|