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Pegasystems PEGAPCDS85V1 Certification Exam is designed for individuals who wish to demonstrate their proficiency in using Pega's data science capabilities to solve complex business problems. PEGAPCDS85V1 exam covers a wide range of topics, including data preparation and exploration, predictive analytics, machine learning, and model deployment. Pega Certified Data Scientist (PCDS) 85V1 certification is ideal for data scientists, data analysts, and business analysts who want to enhance their skills in data science using Pega technology.

Pegasystems PEGAPCDS85V1 certification exam is designed for individuals who want to validate their skills in utilizing Pega’s predictive analytics tools and techniques to analyze data and make data-driven business decisions. Pega Certified Data Scientist (PCDS) 85V1 certification exam focuses on the areas of data preparation, data exploration, predictive modeling, and model deployment. The PEGAPCDS85V1 certification exam is intended for data scientists, business analysts, and professionals who work with data and want to enhance their knowledge of predictive analytics.

Reference: https://academy.pega.com/exam/pega-certified-data-scientist-0

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One of the highlights of PEGAPCDS85V1 exam is its 85V1 standard, which is designed to measure candidates' practical knowledge of Pega’s platform. PEGAPCDS85V1 exam has a strict curriculum, which evaluates the candidates' ability to handle complex data analysis scenarios and provides them with a deep understanding of the Pega platform's software applications. Successful completion of PEGAPCDS85V1 exam certifies the candidate’s proficiency in the subject matter and sets them apart as a skilled and confident data scientist.

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Pegasystems PEGAPCDS85V1 Exam Syllabus Topics:

SectionWeightObjectives
Text Analytics8%- Email routing with text analytics
Pega Process AI8%- Fraud prediction use cases
- Case completion prediction
Decision Strategies16%- Arbitrating between customer actions
- Decisioning logic fundamentals
Next-Best-Action4%- Introduction to Pega for data scientists
Adaptive Analytics34%- Measuring ML impact
- Real-time behavioral prediction
- Monitoring adaptive learning models
Predictive Analytics30%- MLOps and prediction updates
- Building predictive models

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