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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI and Arbitration: Explores AI-powered action arbitration, prioritization, and using business levers for action selection.
Topic 2
  • Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 3
  • Actions and treatments: Focuses on defining and managing customer actions for web and outbound channels.
Topic 4
  • Contact policy and volume constraints: This domain covers managing contact policies to limit how often customers receive communications, focusing on controlling action exposure and volume in outbound channels while configuring appropriate tracking periods.
Topic 5
  • Next-Best-Action concepts: Covers one-to-one engagement fundamentals, contact center optimization, always-on outbound strategies, and next-best-action optimization.
Topic 6
  • Engagement policies: Addresses creating engagement policies, strategies, and customer journeys that govern contact timing and frequency.
Topic 7
  • Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q26-Q31):

NEW QUESTION # 26
MyCo, a mobile company, uses Pega Customer Decision Hub to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what do you configure to select the best offer from both groups based on customer behavior?

Answer: C

Explanation:
To select the best offer from both groups based on customer behavior, you need to ensure that the propensity is enabled in Arbitration tab. Propensity is a measure of how likely a customer is to accept an offer, based on their past behavior and profile. By enabling propensity in Arbitration tab, you can compare the propensities of different offers across groups and select the one with the highest propensity as the next best action. Verified Reference: Pega Academy - Decisioning Consultant - Arbitrating actions


NEW QUESTION # 27
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 References: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 28
A financial institution has created a new policy that states the company will not send more than 500 emails per day. Which option allows you to implement the requirement?

Answer: A

Explanation:
Volume constraints allow you to limit the number of times an action is presented to customers across one or more channels. You can use volume constraints to implement a policy that restricts the number of emails sent per day. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per day. Suppression rules are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases. 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 the action is presented. Verified References: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints


NEW QUESTION # 29
U+ Bank has recently defined two contact policies:
1. Suppress a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days.
2. Suppress the Reward card offer, part of the credit card group, for 7 days if it is rejected twice in any channel in the last 7 days. Paul, an existing U+ Bank customer, no longer sees the Reward card offer. What is the reason that Paul cannot see the offer?

Answer: D

Explanation:
Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:
This is a screenshot of a table with four columns and two rows.
The table has a header row with white text on a blue background.
The header row reads "Constraint name", "Constraint mode", "Constraint value", and "Channel".
The second row has black text on a white background.
The second row reads "Standard card", "Return any action that does not exceed", "100", and "Daily".
The table has a gray border and a light blue background.


NEW QUESTION # 30
U+ Bank, a retail bank, has recently implemented Pega Customer Decision Hub. The bank currently uses an external tool to design email content and a third-party email service provider to send emails to its customers.
As a decisioning architect, how do you recommend the bank implements this requirement?

Answer: A


NEW QUESTION # 31
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