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The PEGAPCDS86V1 or Pega Certified Data Scientist (PCDS) 86V1 Exam is a certification exam that is designed to test an individual's knowledge and skills in the field of data science. PEGAPCDS86V1 exam is offered by Pegasystems, a leading provider of innovative software solutions that help businesses streamline their operations and improve customer experiences. Passing PEGAPCDS86V1 exam is a great way for data scientists to demonstrate their proficiency in using Pega's data science tools and techniques.
Pegasystems PEGAPCDS86V1 Exam Overview:
| Certification Vendor: | Pegasystems |
| Exam Name: | Pega Certified Data Scientist (PCDS) 86V1 |
| Exam Number: | PEGAPCDS86V1 |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Certificate Validity Period: | Version-specific certification (no fixed expiration published; certification remains valid until retirement of exam track) |
| Passing Score: | 70% |
| Related Certifications: | Pega Decisioning Consultant Pega Lead Decisioning Architect |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 50 |
| Exam Price: | USD 175 |
| Available Languages: | English |
| Recommended Training: | Pega Academy Data Scientist Mission Certified Pega Data Scientist Exam Page |
| Exam Registration: | Pearson VUE Pega Certification Registration Pega Certification Information |
| Sample Questions: | Pegasystems PEGAPCDS86V1 Sample Questions |
| Exam Way: | Pearson VUE Test Center or Pearson VUE Online Proctored Exam |
| Pre Condition: | No mandatory prerequisite exam published. Recommended for data scientists working with Pega Customer Decision Hub and AI-driven decisioning solutions. |
| Official Syllabus URL: | https://academy.pega.com/exam/certified-pega-data-scientist |
The PEGAPCDS86V1 exam consists of 60 multiple-choice questions that are designed to test the candidate's knowledge of data science concepts and techniques. Candidates have 90 minutes to complete the exam, and the passing score is 65%. PEGAPCDS86V1 exam covers a wide range of topics, including data preparation, predictive modeling, machine learning, and data visualization. It is recommended that candidates have a minimum of six months of experience working with Pega's data science tools before taking the exam. Upon passing the exam, candidates will receive a certificate that validates their skills and knowledge in the field of data science.
The PEGAPCDS86V1: Pega Certified Data Scientist (PCDS) 86V1 exam is designed to test the knowledge and skills of data scientists who work with the Pega platform. Pega Certified Data Scientist (PCDS) 86V1 certification is offered by Pegasystems, a leading software company that provides tools and solutions for business process management and customer relationship management. The PCDS certification verifies that a data scientist has the necessary skills to analyze and interpret data, build predictive models, and make data-driven decisions using Pega's platform.
Pegasystems PEGAPCDS86V1 is a certification exam that validates the skills and knowledge of data scientists in the Pega platform. PEGAPCDS86V1 exam is designed to test the candidate's ability to use predictive analytics and machine learning techniques to solve business problems using Pega's AI capabilities. PEGAPCDS86V1 exam measures the candidate's proficiency in designing and implementing predictive models, analyzing data sets, and communicating insights effectively.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist-1
Pegasystems PEGAPCDS86V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics | 32% | - Using third-party predictive models - Building predictive models |
| Topic 2: Decision Strategies | 16% | - Understanding decisioning logic - Arbitrating between customer actions |
| Topic 3: Next-Best-Action | 4% | - Introducing Pega to data scientists |
| Topic 4: Adaptive Analytics | 36% | - Predicting customer behavior using real-time data - Quantifying the impact of machine learning - Demonstrating adaptive learning |
| Topic 5: Text Analytics | 12% | - Utilizing text analytics for email routing |
By Morgan
