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Pegasystems PEGACPDS88V1 Exam Syllabus Topics:

Topic	Details
Topic 1	Predictive Analytics: In this Pegasystems Certified Pega Data Scientist exam topic, data scientists will be tested on creating predictions, developing predictive models, and understanding MLOps practices. Their ability to harness predictive analytics to forecast outcomes and manage model lifecycles will be critical.
Topic 2	Pega NLP: This Pegasystems Certified Pega Data Scientist exam topic focuses on the ability of data scientists to use Pega Natural Language Processing tools. Data scientists will need to show expertise in text analytics for email routing and entity extraction with chatbots. This knowledge is essential for leveraging NLP to enhance customer interactions and automate processes.
Topic 3	Adaptive Analytics: The knowledge of data scientists about Adaptive Analytics will be evaluated in this portion. It focuses on creating, monitoring, and exporting adaptive models. Expect questions on how to effectively implement and oversee these models to ensure accurate and actionable analytics for dynamic environments.
Topic 4	Pega Process AI: Here, the skills of data scientists in predicting fraud and case completion using Pega Process AI will be evaluated. Demonstrating the ability to apply AI for predicting these outcomes effectively will showcase the capacity of a data scientist to utilize AI for operational improvements and risk management.
Topic 5	AI for Customer Decision Hub: This PEGACPDS88V1 exam topic assesses the proficiency of data scientists in leveraging AI within the Customer Decision Hub. Data scientists will need to demonstrate their understanding of how to utilize predictions and insights to enhance decision-making processes.