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Pegasystems PEGAPCDC87V1 Exam Questions
- Topic 1: Next-Best-Action concepts: This section examines personalized customer interactions, maximizing customer value in call centers, and strategies for proactive outreach.
- Topic 2: Actions and treatments: This section explores the creation and management of customer-focused actions, web-based offer presentations, and outbound action definition.
- Topic 3: Engagement policies: Discusses the development of customer engagement guidelines and the formulation of engagement strategies.
- Topic 4: Contact policy and volume constraints: Focuses on preventing excessive action exposure, especially in outbound communications, and controlling action frequency.
- Topic 5: AI and Arbitration: Investigates action arbitration techniques, AI-driven prioritization methods, and the use of business levers for action prioritization.
- Topic 6: Channels: Delves real-time container concepts, email offer delivery, and the process of sharing action information with external distribution partners.
Free Pegasystems PEGAPCDC87V1 Exam Actual Questions
Note: Premium Questions for PEGAPCDC87V1 were last updated On Feb. 20, 2026 (see below)
Which two of these statements is true about Value Finder? (Choose Two)
Value Finder is a tool in Pega Customer Decision Hub that helps identify and visualize the distribution of under-served customers across different groups. It also highlights opportunities for improvement by pinpointing areas where the engagement policies or strategies can be optimized to better serve these customers. This helps in fine-tuning the next-best-action strategies to enhance overall customer engagement and satisfaction.
Value Finder functionality and use cases (Page 140-142)
Identifying and addressing under-served customer segments (Page 144-146)
Reference module: Leveraging predictive model.
U+, a retail bank, wants to show a retention offer to customers who are likely to leave the bank in the near future based on historical customer interaction dat
a. Which type of model do you use to implement this requirement?
Requirement:
U+ wants to show a retention offer to customers likely to leave the bank based on historical interaction data.
Model Types:
Entity Model: Used for recognizing entities within data.
Text Analytics Model: Used for analyzing text data.
Predictive Model: Used for making predictions based on historical data.
Adaptive Model: Used for real-time adaptation based on new data.
Suitable Model:
For predicting customer churn (likelihood of leaving), a predictive model is best suited because it leverages historical data to make future predictions.
Verification from Pega Documentation:
Pega documentation on leveraging predictive models for customer retention and churn analysis.
U+ Bank has recently implemented Pega Customer Decision Hub"M. As a first step, the bank went live with the contact center to improve customer engagement. Now, U+ Bank wants to extend its customer engagement through the web channel. As a decisioning consultant, you have created the new set of actions, the corresponding treatments, and defined a new trigger in the Next-Best-Action Designer for the new web channel.
What else do you configure for the new treatments to be present in the next-best-action recommendations?
Initial Configuration: U+ Bank has implemented Pega Customer Decision Hub for the contact center and now wants to extend it to the web channel.
Understand Channel Configuration: Pega CDH requires the configuration of channels in the Next-Best-Action Designer to ensure that treatments are correctly recommended.
Modify the Strategy Framework:
Next-Best-Action Framework: This strategy framework is used to determine the best actions for customers across various channels. It needs to be modified to include configurations specific to the web channel.
Steps to Modify:
Access Next-Best-Action Designer: Navigate to the Next-Best-Action Designer.
Channels Tab: Configure the new web channel in the Channels tab.
Modify the Strategy: Update the Next-Best-Action Framework strategy to incorporate the new web channel. This involves ensuring the new actions and treatments are included and prioritized correctly for the web channel.
According to the Pega Customer Decision Hub User Guide, modifying the framework strategy to cater to new channels is necessary for extending customer engagement (Reference: Pega-Customer-Decision-Hub-User-Guide-85.pdf, Chapter on 'Understanding Next-Best-Action Designer channels').
Testing and Validation:
Test the new configurations to ensure treatments for the web channel are correctly recommended in the next-best-action suggestions.
Conclusion: To configure the new treatments for the web channel in the next-best-action recommendations, the Next-Best-Action Framework strategy must be modified to cater to the new web channel.
U+ Bank, a retail bank, uses the always-on outbound approach to send outbound messages on different channels such as email, SMS, and push notifications. There are a variety of action flow patterns in use to meet various business and channel integrations requirements.
Due to technical reasons, the bank wants to temporarily suspend sending outbound messages and instead write the selected customers and action details to a database table for later offline processing.
What is the most efficient way to meet this requirement?
To temporarily suspend sending outbound messages and instead write the selected customers and action details to a database table for later offline processing, the most efficient way is to update the Send shape with Finalization in all the action flows. This approach allows the system to complete the processing of actions without sending the messages, and instead, store the necessary details in a database for later use.
A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?
Proposition Data Components - These components in a decision strategy are used to import and reference actions or propositions.
Requirement - The strategy designer wants to import all actions from one group and a subset from another.
Minimum Number Calculation:
One component for importing all 10 actions from the Sales/Credit Cards group.
Another component for importing the 2 specific actions from the Sales/Mortgages group.
Pega Customer Decision Hub User Guide 8.6, Section on configuring and using Proposition Data components in strategies .
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