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Pegasystems PEGAPCDS86V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Science Fundamentals | 20% | - Predictive and adaptive analytics concepts - Model evaluation metrics (AUC, lift, accuracy) - Data requirements and statistical basics |
| Data Preparation & Management | 22% | - Handling missing values and imbalanced data - Data exploration and transformation - Feature engineering and selection |
| Analytics & Business Application | 12% | - Creating analytical reports and dashboards - Translating insights to business outcomes |
| Pega Predictive Modeler | 28% | - Building and training predictive models - Importing PMML and external models - Adaptive Decision Manager (ADM) configuration |
| Model Deployment & Monitoring | 18% | - Governance and bias detection - Integrating models into decision strategies - Performance tracking and retraining |
PEGAPCDS86V1 Exam Basics and Our Service Policies
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Pegasystems defines the following prerequisites for the Pegasystems Pega Certified Data Scientist (PCDS) 86V1: Recommended: Basic knowledge of Pega Platform 8.x, Customer Decision Hub, statistics, and machine learning concepts; 6+ months hands-on experience.
Verify the current requirements on the official certification page before booking.
The current exam information lists 50-60 questions for the PEGAPCDS86V1 exam, with 90 minutes minutes allowed. Practicing with a timer beforehand turns the limit into a familiar rhythm.
Pegasystems points candidates to these official training options:
Combine structured training with regular question practice for the sturdiest preparation.
Through continuous research and development, and speed. Our technicians and experts work on the PEGAPCDS86V1 bank daily, updating the database the moment the actual exam content changes — more frequently than typical offerings on the market. The bank is organized around the core knowledge and key points of the Pegasystems Pega Certified Data Scientist (PCDS) 86V1 syllabus, every answer is expert-verified, and delivery is immediate after payment. Customers come first here, and the free demo lets you verify all of it before spending anything.
The Pegasystems Pega Certified Data Scientist (PCDS) 86V1 blueprint is built on these principal domains:
- Data Science Fundamentals (20%)
- Data Preparation & Management (22%)
- Pega Predictive Modeler (28%)
The official outline continues with additional domains — the question bank covers the full set.
At present, the passing score for the PEGAPCDS86V1 exam is 70% and the registration fee is USD 175-190. Both belong to Pegasystems and can change, so confirm them on the official site when you register.
Registration is handled through the official channels listed here:
Select a test center or online appointment, and book early — the most convenient slots fill first.
Pegasystems Pega Certified Data Scientist (PCDS) 86V1 Sample Questions:
A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
- A. The output of an expert survey
- B. A list of business rules
- C. A sentiment analysis model
- D. A list of valid categories
Correct Answer: D 🗳️
As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)
- A. Import a third party PMML model
- B. Create an adaptive self-learning model
- C. Use a Google ML model
- D. Create a Text extraction model
- E. Use Pega machine learning to build a model
Correct Answer: C,D,E 🗳️
A large online store wants to adapt to changing customer behavior, and at the same time does not want to get earned away by every next hype in the market. Adaptive models can help accomplish both business objectives.
Which statement about adaptive models is correct?
- A. Adaptive models require underlying predictive models.
- B. Adaptive models perform a scoring model calculation.
- C. Adaptive models perform a spectrum model calculation.
- D. Adaptive models are regression models.
Correct Answer: D 🗳️
When defining outcomes for an Adaptive Model you must define_________________.
- A. only negative behavior values
- B. behavior values to be ignored
- C. one or more positive behavior values
- D. positive, negative and neutral behavior values
Correct Answer: A 🗳️
The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.
- A. predict binary behavior
- B. score different propositions
- C. differentiate between good, better and best
- D. predict continuous behavior
Correct Answer: A 🗳️
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