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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Engagement policies: Addresses creating engagement policies, strategies, and customer journeys that govern contact timing and frequency.
Topic 2
  • Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 3
  • Channels: Covers implementing real-time containers, offer emails, and third-party integrations for multi-channel delivery.
Topic 4
  • AI and Arbitration: Explores AI-powered action arbitration, prioritization, and using business levers for action selection.

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q59-Q64):

NEW QUESTION # 59
The following decision strategy outputs the most profitable shoe a retailer can sell. The profit is the selling Prices of the shoe, minus the Cost to acquire the shoe.
The details of the shoes are provided in the following table:
The details of the shoes are provided in the following table:

To output the most profitable shoe, which component do you add in the blank space that is highlighted in red?

Answer: D

Explanation:
To output the most profitable shoe, you need to add a Prioritize component in the blank space. A Prioritize component allows you to rank actions based on one or more properties. In this case, you can rank the shoes based on the Profit property and select the highest ranked shoe as the output. Verified Reference: Pega Academy - Decisioning Consultant - Prioritizing actions


NEW QUESTION # 60
The U+ Bank marketing department wants to leverage the next-best-action capability of Pega Customer Decision Hub on Its website to promote new offers to each customer.
Place the events in the sequential order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 61
MyCo, a telecom company, wants to introduce a new group of offers called Tablets for all customers. As a decisioning architect, which two valid actions do you create? (Choose Two)

Answer: B,D


NEW QUESTION # 62
U+ Bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000. What do you configure in the Next-Best-Action Designer to achieve this outcome7

Answer: B

Explanation:
An engagement policy condition is a rule that determines whether a customer is eligible, applicable, or suitable for an offer. You can use engagement policy conditions to filter customers based on their attributes or behaviors. In this case, the bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000, so creating an engagement policy condition based on the income attribute is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 63
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?

Answer: C

Explanation:
Next-Best-Action is a type of decision that involves selecting and prioritizing the most appropriate proposition for each customer at any given moment. Next-Best-Action can be applied to decisions that require customer-centricity, personalization, and contextualization. Determining if a borrower gets a loan is an example of such a decision, as it depends on the customer's attributes, behaviors, preferences, and needs. The other options are examples of decisions that are not related to customer interactions, but rather to operational or analytical processes. Verified Reference: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 64
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