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Pegasystems PEGACPDS88V1 Exam Questions
- Topic 1: 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.
- Topic 2: 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 3: 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 4: Prediction Patterns: This PEGACPDS88V1 topic examines the skills of data scientists in creating and interpreting decision strategies and defining prediction patterns. They need to show their capability to develop and apply prediction patterns to optimize decision-making processes.
- Topic 5: Governance: Understanding the principles of governance within Pegasystems framework is the key in this topic. Aspiring data scientists will be tested on implementing and managing governance structures effectively.
- Topic 6: 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 7: 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.
Free Pegasystems PEGACPDS88V1 Exam Actual Questions
Note: Premium Questions for PEGACPDS88V1 were last updated On Nov. 24, 2024 (see below)
As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio?
Customer Decision Hub Reference:
To optimize the click-through rate of a web banner, you need to create aCustomer Decision Hubprediction.
U+ Bank introduces a new credit card that has no historical customer behavior dat
a. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?
Given the scenario where U+ Bank introduces a new credit card that has no historical customer behavior data and wants to offer this credit card on the personalized web portal, you must use anadaptive model.
U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement?
To offer a 10% discount for customers whose CLV value is higher than 400, you should use theFilterstrategy component.
Which statement about Pega AI is correct?
Pega AI is primarily based on self-learning models Reference:
Pega AI is primarily based onself-learning models.
U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode. Which statement is true about the new predictive model?
The new model does not affect business outcomes Reference:
When you place a new predictive model in shadow mode, it does not affect business outcomes.
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