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Pega Certified Data Scientist (PCDS) 80V1 2020: PEGAPCDS80V1_2020 Exam
"Pega Certified Data Scientist (PCDS) 80V1 2020", also known as PEGAPCDS80V1_2020 exam, is a Pegasystems Certification. With the complete collection of questions and answers, PrepAwayTest has assembled to take you through 50 Q&As to your PEGAPCDS80V1_2020 Exam preparation. In the PEGAPCDS80V1_2020 exam resources, you will cover every field and category in Pega PCDS Certification helping to ready you for your successful Pegasystems Certification.
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Pegasystems PEGAPCDS80V1_2020 (Pega Certified Data Scientist (PCDS) 80V1 2020) Certification Exam is designed to test the skills and knowledge of professionals in the field of data science as it relates to Pega technology. Pega Certified Data Scientist (PCDS) 80V1 2020 certification exam is intended for individuals who have experience in machine learning, data mining, statistical analysis, and other related fields. PEGAPCDS80V1_2020 exam covers a range of topics, including data preparation, model building and evaluation, and deployment and maintenance of models.
Are you aware of the importance of the Pegasystems certification? If your answer is not, you may place yourself at the risk of be eliminated by the labor market. Because more and more companies start to pay high attention to the ability of their workers, and the Pegasystems certification is the main reflection of your ability. If you want to maintain your job or get a better job for making a living for your family, it is urgent for you to try your best to get the Pegasystems certification. We are glad to help you get the certification with our best study materials successfully. Our company has done the research of the study material for several years, and the experts and professors from our company have created the famous PEGAPCDS80V1_2020 study materials for all customers. We believe our products will meet all demand of all customers. If you long to pass the exam and get the certification successfully, you will not find the better choice than our PEGAPCDS80V1_2020 preparation questions. Now give us a chance to introduce our study materials to you.
The PEGAPCDS80V1_2020 exam covers a wide range of topics, including data modeling, data analysis, machine learning, and predictive analytics. Candidates will be tested on their ability to work with Pega's data management tools and to apply statistical methods to analyze and interpret data. PEGAPCDS80V1_2020 exam also covers best practices for data governance, data security, and regulatory compliance. Passing the PEGAPCDS80V1_2020 exam is a great way for data scientists to showcase their skills and expertise in working with Pega technology, and to open up new opportunities for career growth in the field of data science.
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The PEGAPCDS80V1_2020 exam is a comprehensive and challenging exam that requires a thorough understanding of data science concepts and principles. PEGAPCDS80V1_2020 exam is designed to test the candidate's ability to analyze complex datasets, develop models, and deploy them in a business context. Pega Certified Data Scientist (PCDS) 80V1 2020 certification exam is intended for experienced data scientists who have a deep understanding of statistical and machine learning concepts and are looking to validate their skills through a recognized certification process.
Reference: https://academy.pega.com/exam/pega-certified-data-scientist
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Pegasystems PEGAPCDS80V1_2020 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Next-Best-Action | 4% | - Introducing Pega to Data Scientists - Next-Best-Action concepts |
| Topic 2: Predictive Analytics | 30% | - Model evaluation and performance - Model governance and deployment - Predictive model creation - Predictor analysis - Prediction Studio usage |
| Topic 3: Decision Strategies | 16% | - Decisioning logic - Decision strategy components - Strategy simulation and testing - Arbitration and prioritization |
| Topic 4: Pega Process AI | 8% | - Case completion predictions - Fraud prediction models - Operational AI use cases |
| Topic 5: Adaptive Analytics | 34% | - Real-time learning - Monitoring adaptive models - Evidence, propensity, and performance metrics - Business impact measurement - Adaptive model fundamentals |
| Topic 6: Text Analytics | 8% | - Natural language processing concepts - Text categorization - Email and interaction analysis |
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