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Pegasystems PEGAPCDC87V1 Exam
Certified Pega Decisioning Consultant (PCDC) 87V1 (Page 6 )

Updated On: 7-Feb-2026
Page 6 of 38
PDF with 184 Questions

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Myco, a telecom company, has come up with a new data plan group to suit its customers' needs. The below table lists the three data plan actions and the criteria a customer should satisfy to qualify for the offer.



How do you configure the engagement policies to implement this requirement?

  1. See Explanation section for answer.

Answer(s): A

Explanation:



U+ Bank, a retail 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?

  1. Applicability
  2. Suppression rules
  3. Suitability
  4. Eligibility

Answer(s): D

Explanation:

The condition that possibly prevents Anna from seeing the new Rewards card offer is "Eligibility." Since Anna already holds a higher value card, Premier Rewards, the eligibility criteria might exclude her from receiving offers for the Rewards card. This ensures that customers are not offered products that are less relevant or valuable compared to what they already have.


Reference:

Pega Customer Decision Hub User Guide, section on "Eligibility conditions for engagement policies".



U+ Bank recently introduced a new credit card offer, Platinum Plus, for its premium customers. As the bank has some financial targets to meet, the business has decided to boost the Platinum plus card.
As a decisioning consultant, how can you ensure that the Platinum Plus offer is prioritized over other offers?

  1. Increase the starting propensity of the Platinum Plus card.
  2. Increase the context weight of the Platinum Plus card.
  3. Increase the action value of the Platinum Plus card.
  4. Increase the business weight of the Platinum Plus card.

Answer(s): D

Explanation:

To ensure that the Platinum Plus offer is prioritized over other offers, you can increase the "business weight" of the Platinum Plus card. The business weight is a lever used in the arbitration process to influence the prioritization of actions. By increasing the business weight, you make the Platinum Plus offer more likely to be selected over other competing offers.


Reference:

Pega Customer Decision Hub User Guide, section on "Understanding Next-Best-Action Designer arbitration".



You are the decisioning consultant on an Al-powered one-to-one customer engagement implementation project. You are asked to design the next-best-action prioritization expression that balances the customer needs with the business objectives.
What factor do you consider in the prioritization expression?

  1. Predicted customer behavior
  2. Customer contact policy
  3. Offer eligibility
  4. Offer relevancy

Answer(s): A

Explanation:

In designing the next-best-action prioritization expression that balances customer needs with business objectives, you need to consider "Predicted customer behavior." This factor involves using predictive models to forecast how customers are likely to respond to different actions, ensuring that the recommended actions are both relevant to the customer and aligned with business goals.


Reference:

Pega Customer Decision Hub User Guide, section on "Predicting customer behavior".



U+ Bank, a retail bank, presents various credit card offers to its customers on its website. The bank uses artificial intelligence (AI) to prioritize the offers based on customer behavior. Since introducing the Gold credit card offer, the offer click through rate propensity has increased to 0.83.
What does the increase in the propensity value most likely indicate?

  1. Similar customers have ignored the offer.
  2. Similar customers have shown interest in the offer.
  3. Similar customers have rejected the offer.
  4. Similar customers have purchased other offers.

Answer(s): B

Explanation:

Propensity Increase: In Pega Customer Decision Hub, propensity indicates the likelihood of a customer responding positively to an offer. A propensity value of 0.83 signifies a high likelihood of customers showing interest in the Gold credit card offer.

Customer Behavior Analysis: The increase to 0.83 suggests that similar customers have demonstrated interest, such as clicking on the offer or engaging with it in some way.


Reference:

Pega's documentation on propensity and customer engagement highlights that a higher propensity score is indicative of positive customer response and interest .



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