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The PEGAPCDC87V1 certification exam is a valuable credential for individuals who want to advance their careers in Pega Decisioning. It demonstrates their expertise and knowledge in this field, which can help them stand out in a competitive job market. With the right preparation and dedication, candidates can pass the exam and become certified Pega Decisioning consultants.

The PEGAPCDC87V1 exam is an excellent way for professionals to validate their skills and knowledge in Pega Decisioning. Candidates who pass PEGAPCDC87V1 exam have demonstrated their proficiency in designing and implementing customer-centric decisioning strategies using the Pega Decisioning platform. Certified Pega Decisioning Consultant (PCDC) 87V1 certification is highly valued in the industry and is recognized globally.

The PEGAPCDC87V1 Exam is a comprehensive test that covers a wide range of topics related to Pega decisioning technology. PEGAPCDC87V1 exam is designed to test the consultant's knowledge of Pega's decisioning tools, including the Pega Decision Management platform, the Pega Predictive Analytics platform, and the Pega Marketing platform. PEGAPCDC87V1 exam also covers topics such as decision strategy design, predictive analytics, customer journey mapping, and customer experience design.

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Pegasystems Certified Pega Decisioning Consultant (PCDC) 87V1 Sample Questions (Q159-Q164):

NEW QUESTION # 159
What does a solid arrow from a "Set Property" component to a "Filter" component mean?

  • A. A property from the "Set Property" component is referenced by the "Filter" component.
  • B. Information from the "Set Property" component is copied over to the "Filter" component.
  • C. There is a one-to-one relationship between a "Set Property" and a "Filter" component.
  • D. To evaluate the "Set Property" component, the "Filter" component is evaluated first.

Answer: C


NEW QUESTION # 160
Reference module: Testing engagement policy conditions using audience simulation. As a Decisioning Consultant, you are tasked with running an audience simulation to test the engagement policy conditions. Which of following statements is true when the simulation scope is Audience simulation with engagement policy and arbitration?

  • A. The results help optimize strategies to meet specific business goals
  • B. The number of customers who receive an action more than once is displayed
  • C. The number of customers who receive more than one action is displayed
  • D. The number of times that an action is presented to customers is displayed

Answer: D

Explanation:
Running an audience simulation with engagement policy and arbitration helps optimize strategies:
Purpose of Audience Simulation:
Step 1: Audience simulation in Pega Customer Decision Hub is used to test and analyze how engagement policies and arbitration rules affect customer interactions.
Step 2: It provides insights into the effectiveness of the configured policies and their impact on business goals.
Simulation Scope:
Step 1: When the simulation scope includes engagement policy and arbitration, it evaluates the complete decision process, from filtering eligible actions to prioritizing and presenting the best actions to customers.
Step 2: This comprehensive simulation helps identify potential issues and areas for improvement.
Optimizing Strategies:
Step 1: Analyze the simulation results to understand how engagement policies and arbitration rules influence the distribution of actions across different customer segments.
Step 2: Use the insights gained to adjust strategies, ensuring that they align with business objectives such as maximizing customer engagement, improving conversion rates, or achieving specific financial targets.
Example:
As a Decisioning Consultant, you can run an audience simulation for U+ Bank to test their Credit Card offer strategies. The results will provide valuable data on how well the strategies perform and where adjustments are needed to optimize outcomes.
References:
Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Testing Next-Best-Action configuration with audience simulations" section.


NEW QUESTION # 161
U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement?

  • A. Filter
  • B. Set Property
  • C. Group By
  • D. Prioritize

Answer: B


NEW QUESTION # 162
U+ Bank, a retail bank, uses the Business Operations Environment to perform its Business changes. The bank carries out these changes in the Pega Customer Decision Hub portal by using revision management features or the 1:1 operations Manager Portal.
Customers see credit card offers based on various engagement policies on the U+ Bank website. The bank wants to update the underlying decision strategy of an engagement policy condition. In which portal do you create the change request to fulfill new business requirement?

  • A. Development Manager Portal
  • B. 1:1 Operations Manager Portal
  • C. Pega Customer Decision Hub Portal
  • D. Dcv studio portal

Answer: B


NEW QUESTION # 163
Reference module: Creating and understanding decision strategies.
MyCo, a mobile company, wants you to calculate the total revenue of three new actions offered in the first quarter. What do you configure to compute the total revenue?

  • A. Three Group By components
  • B. A single Set Property component
  • C. A single Group By component
  • D. Three Set property components

Answer: C

Explanation:
Requirement for Total Revenue Calculation:
* MyCo needs to calculate the total revenue of three new actions over a specified period.
* The goal is to aggregate the revenue generated by these actions.
Use of Group By Component:
* The Group By component is used to aggregate data based on specified properties.
* In this scenario, it can be configured to sum the revenue of the three new actions.
Configuration Steps:
* Configure a single Group By component to group the actions by their identifiers.
* Use the aggregation function within the Group By component to calculate the sum of the revenue for the grouped actions.
Efficiency and Simplicity:
* Using a single Group By component simplifies the strategy by avoiding redundancy.
* It ensures that all actions are considered in a single aggregation process, providing an accurate total revenue calculation.
Verification from Pega Documentation:
* According to Pega's guidelines, a single Group By component can efficiently compute total values such as revenue by grouping and aggregating data.


NEW QUESTION # 164
......

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