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The web-based Certified Pega Decisioning Consultant 25 (PEGACPDC25V1) practice exam is accessible from any major OS, including Mac OS X, Linux, Android, Windows, or iOS. These Pegasystems PEGACPDC25V1 exam questions are browser-based, so there's no need to install anything on your computer. Chrome, IE, Firefox, and Opera all support this Pegasystems PEGACPDC25V1 web-based practice exam. You can take this Certified Pega Decisioning Consultant 25 (PEGACPDC25V1) practice exam without plugins and software installation.

Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Reporting and Monitoring- Performance tracking
  • 1. Business outcome reporting
    • 2. Decision results monitoring
      Topic 2: Customer Decision Hub Overview- Engagement Policy Design
      • 1. Constraints and suitability rules
        • 2. Eligibility and applicability rules
          - Next-Best-Action (NBA) Framework
          • 1. NBA decision strategies
            • 2. Action prioritization and arbitration
              Topic 3: Customer Engagement and Channels- Omnichannel delivery
              • 1. Channel configuration
                • 2. Customer interaction history
                  Topic 4: AI and Adaptive Analytics- Machine learning in decisioning
                  • 1. Model usage in NBA
                    • 2. Feature impact and feedback cycles
                      - Adaptive models
                      • 1. Propensity scoring
                        • 2. Outcome prediction and learning loops
                          Topic 5: Decision Strategies and Configuration- Real-time decisioning
                          • 1. Event-driven decisioning
                            • 2. Context handling in real time
                              - Strategy building blocks
                              • 1. When, if, and decision shapes
                                • 2. Strategy results and propositions

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                                  Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q106-Q111):

                                  NEW QUESTION # 106
                                  U+ Bank follows all engagement policy best practices to present credit card offers on their website. The bank has introduced a new credit card offer, the Rewards card. Anna, an existing customer, currently holds a higher value card, Premier Rewards, and does not see the new Rewards card offer.
                                  What condition possibly prevents Anna from seeing the new Rewards card offer?

                                  Answer: D

                                  Explanation:
                                  Suppression rules are used to prevent customers from seeing offers that are not relevant or appropriate for them. For example, if a customer already has a higher value card, they should not see a lower value card offer.
                                  Therefore, suppression rules are the most likely condition that prevents Anna from seeing the new Rewards card offer. Verified References: [Pega Decisioning Consultant | Pega Academy]


                                  NEW QUESTION # 107
                                  MyCo, a telecom company, developed a new data plan group to suit the needs of its customers. The following table lists the three data plan actions and the criteria that customers must satisfy to qualify for the offer:

                                  Answer:

                                  Explanation:

                                  Explanation:
                                  A screenshot of a computer screen AI-generated content may be incorrect.


                                  NEW QUESTION # 108
                                  U+ Bank follows all engagement policy best practices to present credit card offers on their website. The bank has introduced a new credit card offer, the Rewards card. Anna, an existing customer, currently holds a higher value card, Premier Rewards, and does not see the new Rewards card offer.
                                  What condition possibly prevents Anna from seeing the new Rewards card offer?

                                  Answer: D

                                  Explanation:
                                  Suppression rules are used to prevent customers from seeing offers that are not relevant or appropriate for them. For example, if a customer already has a higher value card, they should not see a lower value card offer. Therefore, suppression rules are the most likely condition that prevents Anna from seeing the new Rewards card offer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]


                                  NEW QUESTION # 109
                                  U+ Bank, a retail bank, presents offers on its website by using Pega Customer Decision Hub. The bank wants to leverage Customer Decision Hub capabilities to present relevant offers to qualified customers. As a decisioning consultant, you are responsible for configuring the business requirements with the Next-Best- Action Designer, which involves several tasks. To accomplish these tasks, you might have to use auto- generated decision strategies, create new decision strategies, or edit existing strategies.
                                  In the Answer Area, select the correct execution for each Task.

                                  Answer:

                                  Explanation:
                                  A screenshot of a computer screen Description automatically generated


                                  NEW QUESTION # 110
                                  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?

                                  Answer: B

                                  Explanation:
                                  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


                                  NEW QUESTION # 111
                                  ......

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