The Pega Certified Decisioning Consultant (PEGAPCDC87V1) exam validates your ability to design and implement decisioning strategies within Pegasystems applications. This certification is intended for consultants, business analysts, and technical professionals who work with Pega's decisioning framework to drive personalized customer engagement. This exam measures both conceptual understanding and practical application of decision management principles in real-world scenarios. This page provides a clear roadmap of exam topics, question formats, and preparation strategies to help you study efficiently and build confidence before test day.
Use this topic map to guide your study for Pegasystems PEGAPCDC87V1 (Certified Pega Decisioning Consultant (PCDC) 87V1) within the Pega Certified Decisioning Consultant path.
The PEGAPCDC87V1 exam combines multiple-choice questions with scenario-based items to assess both foundational knowledge and applied reasoning. Questions progress in difficulty and emphasize practical decision-making over memorization.
Questions increase in complexity throughout the exam, requiring you to integrate multiple topics and apply them to realistic business problems.
Effective preparation for PEGAPCDC87V1 requires a structured study plan that maps exam topics to weekly milestones and includes hands-on practice. A typical 4-6 week study cycle allows time to learn each topic thoroughly, practice with realistic questions, and refine weak areas before the exam.
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Decision Strategies and Next-Best-Action Concepts typically account for the largest portion of exam items, as they form the foundation of decisioning work. Engagement Policies and Contact Policy and Volume Constraints also appear frequently because they directly impact real-world campaign execution. While all seven topic areas are tested, your study time should reflect this distribution.
Engagement Policies define the rules for when and how to engage a customer (e.g., which offers to show, which channels to use), while Contact Policy and Volume Constraints enforce limits on how often a customer can be contacted. In a real project, you first design the engagement policy to select the best action, then apply contact constraints to ensure the customer does not receive too many messages within a given period. Together, they balance business goals with customer experience.
Ideally, you should have 6-12 months of experience working with Pegasystems decisioning features, including exposure to decision strategy configuration, treatment design, and policy setup. If you have less hands-on experience, focus your study on practical scenario questions and labs that simulate real configuration tasks. Conceptual understanding combined with guided practice can bridge gaps in direct system experience.
Many candidates confuse the roles of Actions versus Treatments, or overlook how Contact Policy constraints affect campaign reach. Others misinterpret scenario questions by focusing on one aspect (e.g., channel preference) while ignoring business constraints (e.g., budget or volume limits). To avoid these mistakes, practice reading scenario items carefully, identify all constraints before selecting an answer, and review explanations for questions you get wrong.
In your final week, shift focus from learning new content to reinforcing weak areas and building test-day confidence. Take a full-length practice test under timed conditions, review any questions where you scored below 80 percent, and do a quick refresher on high-stakes topics like Decision Strategies and Next-Best-Action Concepts. Avoid cramming new material; instead, use this time to solidify what you already know and practice pacing.
Reference module: Essentials of always-on outbound.
A U+ bank customer tries to initiate a fund transfer. Due to a slow internet connection, the transfer ends abruptly. The bank then sends an email with a link to continue the incomplete transaction. Which type of outbound interaction is this?
Understanding Customer Events:
Customer events are interactions triggered by specific actions or behaviors of the customer.
In this case, an incomplete transaction due to a slow internet connection is an event that prompts further action.
Email with Link to Continue Transaction:
Sending an email with a link to continue an incomplete transaction is a response to a customer event.
This type of communication is designed to help the customer complete their intended action, improving user experience.
Verification:
The documentation categorizes interactions like these as customer events.
Reference module: Adding more tracking time periods for contact policies
A bank is currently displaying a group of mortgage offers to its customers on their website. The bank wants to suppress the mortgage group for 15 days if a customer ignores three offers from the mortgage group. How do you define the suppression rule for this requirement?
To define a suppression rule in Pega for the scenario where a group of mortgage offers should be suppressed for 15 days if a customer ignores three offers from the mortgage group, follow these steps:
Define the Suppression Rule:
Create a contact policy in Pega Customer Decision Hub to suppress the group of mortgage actions.
Specify the Condition:
Set the condition to suppress the group of actions if there are 3 rejects (ignored offers) for any channel. This means the suppression applies regardless of whether the offers were displayed on the web, mobile, email, etc.
Set the Suppression Duration:
Configure the suppression period to be 15 days. This ensures that the group of actions will not be shown to the customer for 15 days after they have ignored three offers.
Apply the Contact Policy:
Ensure the contact policy is associated with the relevant group of actions (mortgage offers) and that it is enforced by the strategy framework.
Test and Validate:
Test the suppression rule to verify it works as expected and that the offers are suppressed correctly after three rejects.
Pega Customer Decision Hub User Guide 8.7: Adding more tracking time periods for contact policies, Creating a contact policy, Contact policy library.
U+ Bank has recently started using Pega Customer Decision Hub to display the first credit card offer, the Standard card, to every customer who logs in to their website.
Which three tasks do you need to perform to implement this requirement? (Choose Three)
Business Structure: Setting up the business structure to Sales/CreditCards ensures that the actions and offers are correctly categorized and managed within the appropriate business context.
Real-Time Container: Creating and configuring a real-time container is necessary for presenting the credit card offer to customers in real-time as they log in to the website.
Action and Web Treatment: Defining the action and configuring its web treatment ensures that the offer is ready to be displayed to the customers, complete with the necessary details and presentation format.
U+ Bank is currently running outbound communications for home loan offers and credit cards. They have added five new actions to the Credit Cards group. They would like to enable these actions in the email channel. What are the two minimum configurations that must be made? (Choose Two)
Requirement:
U+ Bank has added five new actions to the Credit Cards group and wants to enable these actions in the email channel.
Configuring Each Action with an Email Treatment:
Each action must be configured with an appropriate treatment for the email channel.
Treatments define how the actions are presented in the channel, including the content and format of the email.
This step ensures that the actions are prepared to be sent via email with the correct content.
Enabling the Email Channel in Next-Best-Action -> Channels:
The email channel must be enabled in the Next-Best-Action Designer.
This involves configuring the channel settings to ensure that the actions can be executed through email.
Enabling the channel makes it available for selection when configuring outbound runs and treatments.
U + Bank, a retail bank, has applied business weight to their credit card offers to manually nudge the offers. The bank analyzes the effect of the change in Scenario Planner. The following image shows the projected reach and responses of the cards in the comparison mode. How many customers are likely to accept the Standard card?
Understanding the Scenario Planner Output:
The image shows the projected reach and projected responses for several credit card offers, including the Standard card.
The 'Projected responses' column indicates the number of customers expected to respond positively to each offer.
Interpreting the Data for the Standard Card:
For the Standard card, the 'Projected responses' is 21, with a change indicator showing a decrease of 7.
This decrease is factored into the projected response, meaning the expected number of positive responses after considering the applied business weight.
Step-by-Step Calculation:
The base projected responses for the Standard card is 21.
The decrease of 7 has already been factored into this projection.
Therefore, the number of customers likely to accept the Standard card remains 21, as it represents the final projected response after adjustments.
Verification from Pega Documentation:
The Scenario Planner in Pega Customer Decision Hub provides these projections to help visualize the impact of business weight adjustments and other lever changes on customer actions.
