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| Vendor: | Pegasystems |
|---|---|
| Exam Code: | PEGACPDC88V1 |
| Exam Name: | Certified Pega Decisioning Consultant 8.8 |
| Exam Questions: | 60 |
| Last Updated: | August 20, 2026 |
| Related Certifications: | Pega Certified Decisioning Consultant |
| Exam Tags: | Foundational level Decisioning Consultants and Business Analysts |
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U+ Bank, a retail bank, has recently implemented a project in which qualified customers see mortgage offers when they log in to the web self-service portal.
Currently, only the customers who satisfy the following engagement policy conditions receive the Fifteen-year fixed-rate mortgage offer:

The bank decides to make two changes:
1. Update the suitability condition for the Fifteen-year fixed-rate mortgage offer.
2. Introduce a new offer , Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:

What is the best practice to fulfill this change management requirement in the Business Operations Environment?
U+ Bank's marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want to show offers on a customer's account page if the customer has already received three home loan offers in the last two weeks.
What do you need to define to implement the business requirement?
A suppression policy allows you to define conditions that prevent customers from receiving an action or a group of actions. You can use a suppression policy to implement the requirement that customers do not see home loan offers on their account page if they have already received three home loan offers in the last two weeks. You can configure the suppression policy to suppress the home loan group based on the number of times the customer received any action from that group in the past 14 days. Applicability rules are used to determine whether an action is relevant for a customer based on their profile or context, not based on the number of times they received an action. Customer contact limits are used to limit the number of times a customer can be contacted per channel per time period, not based on the number of times they received an action. Volume constraints are used to limit the number of times an action is presented to customers across one or more channels, not based on the number of times they received an action. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies
U+ Bank has recently defined two contact policies:
1. Suppress a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days.
2. Suppress the Reward card offer, part of the credit card group, for 7 days if it is rejected twice in any channel in the last 7 days. Paul, an existing U+ Bank customer, no longer sees the Reward card offer. What is the reason that Paul cannot see the offer?
Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:
This is a screenshot of a table with four columns and two rows.
The table has a header row with white text on a blue background.
The header row reads ''Constraint name'', ''Constraint mode'', ''Constraint value'', and ''Channel''.
The second row has black text on a white background.
The second row reads ''Standard card'', ''Return any action that does not exceed'', ''100'', and ''Daily''.
The table has a gray border and a light blue background.
U+ Bank has recently implemented Pega Customer Decision Hub. 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 architect, 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?
U+ Bank wants to offer credit cards only to customers with a low-risk profile. The customers are divided into various risk segments from AAA to CCC. The risk segmentation rules that the business provides use the Age and the customer Credit Score based on the following table. The bank uses a scorecard model to determine the customer Credit Score.

As a decisioning architect, how do you implement the business requirement?
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