PEGAPCDS80V1_2020 exam dumps

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  • Exam Code: PEGAPCDS80V1_2020
  • Exam Name: Pega Certified Data Scientist (PCDS) 80V1 2020
  • No. of Questions: 50 Questions and Answers
  • Updated: Aug 18, 2026

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  • Total Questions: 50
  • Updated on: Aug 18, 2026
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  • Total Questions: 50
  • Updated on: Aug 18, 2026
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  • Total Questions: 50
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The Pega Certified Data Scientist (PCDS) 80V1 2020 Certification Exam is a valuable credential for data scientists who work with Pega technology. It validates your skills and expertise in using Pega tools and methodologies to develop predictive models and analyze data. By earning this certification, you can enhance your career prospects, improve your credibility with clients and employers, and demonstrate your commitment to professional development.

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

The PEGAPCDS80V1_2020: Pega Certified Data Scientist (PCDS) 80V1 2020 exam is an industry-recognized certification test designed for those individuals who are interested in gaining expertise in developing analytical models with Pega Platform tools. Passing PEGAPCDS80V1_2020 exam validates their skills, knowledge, and expertise to leverage machine learning techniques and predictive analytics to gain insights and improve business outcomes. It is an in-demand certification and offers numerous career opportunities in the field of data science.

Pegasystems PEGAPCDS80V1_2020 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Adaptive Analytics34%- Adaptive model fundamentals
- Real-time adaptive learning
- Monitoring and tuning adaptive models
- Quantifying business impact of machine learning
Topic 2: Predictive Analytics22%- Integrating third-party predictive models
- Using Prediction Studio
- Fundamentals of predictive models
- Building and evaluating predictive models
Topic 3: Next-Best-Action8%- Introduction to Pega for data scientists
- Next-Best-Action paradigm concepts
Topic 4: Text Analytics10%- Use cases such as email routing and interaction analysis
- Applying text analytics in decision strategies
- Text analytics concepts and NLP basics
Topic 5: Decision Strategies26%- Understanding decisioning logic
- Building and simulating decision strategies
- Arbitrating and prioritizing customer actions

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