Certified Pega Data Scientist 8.8 Practice Questions
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PEGACPDS88V1 FAQs
While the PEGA CSA Exam focuses on system architecture and application development within Pega, the PEGACPDS88V1 Exam is more specialized, dealing with decision-making and analytics, focusing on Pega Customer Decision Hub.
Certified professionals can work as Decisioning Architects, Pega Decisioning Consultants, Data Analysts, or Marketing Automation Consultants, focusing on optimizing decision-making processes within organizations.
Salaries for professionals with the PEGACPDS88V1 certification typically range between $100,000 and $140,000 annually, depending on location, experience, and the industry they work in.
While both certifications deal with customer engagement, the PEGACPDS88V1 focuses more on decisioning and analytics, whereas the Marketing Consultant certification is geared toward marketing automation and campaign strategies.
Companies benefit from improved customer engagement, better data-driven decision-making, and optimized marketing and service delivery through certified experts who can fully leverage Pega’s decisioning capabilities.
This certification sets you apart as an expert in real-time decisioning and analytics, increasing your value in industries where customer decisioning and engagement play a crucial role in business success.
The Pega Business Architect certification covers business process modeling and requirements gathering, while the PEGACPDS88V1 certification is specialized in decision strategies, predictive analytics, and customer engagement.
The exam is moderately challenging and focuses on specific areas like decision strategies and customer analytics. Experience with Pega’s decisioning tools and understanding of its real-time decision-making process is key.
Yes, the certification validates specialized knowledge in decisioning and analytics, which can open opportunities for advancement to senior consultant, architect, or decisioning strategy roles
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Certified Pega Data Scientist 8.8 Questions and Answers
U+ Insurance uses Pega Process AI™ and wants straight-through processing of claims with a low fraud risk. As a data scientist, you create a prediction that calculates the probability that a claim is fraudulent.
What type of prediction do you create to meet this requirement?
When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)
Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________