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| Vendor: | Pegasystems |
|---|---|
| Exam Code: | PEGAPCDC87V1 |
| Exam Name: | Certified Pega Decisioning Consultant (PCDC) 87V1 |
| Exam Questions: | 184 |
| Last Updated: | March 4, 2026 |
| Related Certifications: | Pega Certified Decisioning Consultant |
| Exam Tags: |
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Myco, a telecom company, uses Pega Customer Decision Hub to present offers to qualified customers. The business recently decided to send offer messages through the email channel. The Design department has designed an email treatment which includes dynamic placeholders.
As a decisioning consultant, what do you use in order to test the visualization and the rendering of the email content, including replacing of the placeholders with customer information?
To test the visualization and rendering of the email content, including the replacement of placeholders with customer information, you use a seed list from the Test Message tab. A seed list allows you to send test emails to a predefined group of recipients, ensuring that the dynamic content is correctly rendered and personalized before the actual campaign is launched.
Reference module: Creating and understanding decision strategies. In a Prioritize component, the top action can be determined based on the value of _______.
Introduction to Prioritize Component:
The Prioritize component in Pega Decisioning is used to order actions based on specific criteria.
This component evaluates the importance or priority of different actions to determine which should be executed first.
Understanding Propensity:
Propensity is a prediction of the likelihood that a customer will respond positively to a particular action.
It is a key factor in decision-making processes as it reflects the customer's predicted behavior based on past interactions and other data.
Role of Propensity in Prioritize Component:
The primary function of the Prioritize component is to rank actions.
This ranking is typically based on the propensity value, which is calculated using predictive models.
The action with the highest propensity is considered the top action because it has the highest predicted likelihood of a positive customer response.
Verification from Pega Documentation:
According to Pega's guidelines on creating and understanding decision strategies, propensity is a standard and recommended metric for prioritizing actions within the Prioritize component.
A bank is currently sending promotional emails related to credit card offers to qualified customers. Now the bank wants to prevent overexposure to these offers. As a part of this effort, the bank wants to avoid sending the same promotional offer email for the next 60 days if the email was rejected twice by the customer in the last 30 days. How do you define the suppression rule for this contact policy?
To prevent overexposure and avoid sending the same promotional offer email for the next 60 days if the email was rejected twice by the customer in the last 30 days, you should define the suppression rule as 'Suppress an action for 60 days if there are 2 rejects in the email channel in the last 30 days.' This rule ensures that specific actions are paused based on the customer's past interaction history, preventing repetitive and potentially annoying communications.
Configuring contact policies and suppression rules (Page 66-67)
A bank wants to add a contact policy that will suppress an action for 20 days if it was rejected twice in any channel in the last 30 days. How do you define the suppression rule for the contact policy?
To define a contact policy that suppresses an action for 20 days if it was rejected twice in any channel in the last 30 days, you need to specify the suppression rule as follows: 'Suppress an action for 20 days if there are 2 rejects for any channel in the last 30 days.' This rule ensures that the action is paused after it has been rejected a specified number of times across any channel within the given timeframe.
U+ Bank's marketing department wants to promote various auto loan offers to qualified customers on its website by using the Pega Customer Decision Hub. The bank wants to show the offers on the customer's account page when customers log in to their account. The bank has defined several conditions customers must satisfy to see these auto loan offers.
As a decisioning consultant, which two of the following configurations do you implement to achieve the business requirement? (Choose Two)
To promote various auto loan offers to qualified customers on its website using Pega Customer Decision Hub, you need to:
Create a decision strategy: This involves defining the logic that determines which auto loan offers are most relevant to each customer based on their profile, behavior, and eligibility criteria.
Set up the business structure: This involves organizing the offers into a hierarchical structure of business issues and groups, such as categorizing them under a 'Loans' issue and an 'Auto Loans' group. This structure helps in managing and prioritizing the offers effectively.
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