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Pegasystems PEGAPCDS87V1 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Pega Certified Data Scientist (PCDS) Exam 87V1 |
| Exam Number: | PEGAPCDS87V1 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Approximately 60 |
| Related Certifications: | Pega Certified Decisioning Consultant Pega Certified System Architect (CSA) |
| Exam Format: | Proctored online exam, Multiple choice |
| Passing Score: | 70% |
| Exam Price: | USD 175 (may vary by region) |
| Recommended Training: | Pega Academy Training |
| Exam Registration: | Pega Certification Registration |
| Sample Questions: | Pegasystems PEGAPCDS87V1 Sample Questions |
| Exam Way: | Online proctored exam via Pega Academy or authorized testing provider |
| Pre Condition: | Recommended: Experience with Pega Platform and basic knowledge of data science concepts. Prior certification such as Pega CSA is beneficial but not strictly required. |
| Official Syllabus URL: | https://academy.pega.com/ |
The PEGAPCDS87V1 exam is intended for data scientists, business analysts, and IT professionals who work with data on a regular basis. Pega Certified Data Scientist (PCDS) 87V1 certification is ideal for those who want to demonstrate their expertise in using Pega's tools and techniques to analyze data and make informed business decisions. By passing PEGAPCDS87V1 exam, candidates can demonstrate their proficiency in data science, which can lead to better job opportunities, increased salaries, and greater recognition within their organization as a data science expert. Overall, the PEGAPCDS87V1 exam is an excellent way for professionals to validate their skills and knowledge in the field of data science using Pega's technology platform.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist-2
Candidates who pass the PCDS 87V1 certification exam will be recognized as experts in the field of data science and will be able to demonstrate their proficiency in using Pega’s software to analyze and interpret data. Pega Certified Data Scientist (PCDS) 87V1 certification can be a valuable asset for professionals who are looking to advance their careers in the field of data science, as well as for businesses that are looking for qualified data scientists to help them optimize their operations and improve their bottom line.
Pegasystems PEGAPCDS87V1 (Pega Certified Data Scientist (PCDS) 87V1) Certification Exam is a globally recognized certification exam that is designed to validate the skills and knowledge required to become a successful data scientist using Pega’s analytics tools and technologies. Pega Certified Data Scientist (PCDS) 87V1 certification exam focuses on testing the candidate’s understanding of data science techniques, data modeling, data management, and data analysis using Pega’s platform. Candidates who pass PEGAPCDS87V1 exam can demonstrate their expertise in designing and implementing data-driven solutions using Pega’s tools, which can enable them to pursue a successful career in data science.
The PEGAPCDS87V1 certification exam is a valuable credential for professionals looking to advance their careers in the field of data science and analytics. Pega Certified Data Scientist (PCDS) 87V1 certification validates the knowledge and skills required to design and implement data science solutions using Pega's software tools. If you are looking for a way to enhance your career prospects in data science and analytics, the PEGAPCDS87V1 certification is an excellent choice.
Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Topic 2: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 3: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Topic 4: Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Topic 5: Data Sets and Integration | - External data integration with Pega platform - Data flows and dataset configuration |
By Werner
