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Pegasystems PEGACPDC25V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Certified Pega Decisioning Consultant 25
Exam Number:PEGACPDC25V1
Exam Format:Drag-and-drop, Scenario-based, Multiple choice
Certificate Validity Period:2 years
Related Certifications:Pega Certified System Architect (PCSA)
Pega Certified Senior Decisioning Consultant
Exam Price:$190 USD
Available Languages:English
Exam Duration:90 minutes
Passing Score:70%
Real Exam Qty:60
Recommended Training:Pega Academy Decisioning Consultant Learning Path
Exam Registration:Pearson VUE Registration
Sample Questions:Pegasystems PEGACPDC25V1 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended: knowledge of Pega Platform, Customer Decision Hub, completion of Decisioning Consultant learning mission
Official Syllabus URL:https://academy.pega.com/exam/certified-pega-decisioning-consultant-5

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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
  • 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 4
  • Channels: Covers implementing real-time containers, offer emails, and third-party integrations for multi-channel delivery.
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
  • Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.

Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q24-Q29):

NEW QUESTION # 24
U+ Bank presents various credit card offers to its customers on its website. The bank uses AI to prioritize the offers according to customer behavior. With the introduction of the Gold credit card offer, the offer click- through propensity decreased to 0.42.
What does the decrease in the propensity value most likely indicate?

Answer: A

Explanation:
The propensity is a measure of how likely a customer is to accept an offer, based on their attributes and behaviors. The propensity is calculated by using predictive analytics models that learn from historical data and feedback. A low propensity value indicates that the offer is not relevant or attractive for the customer, and that similar customers have ignored or rejected the offer in the past. Therefore, if the offer click-through propensity decreased to 0.42, it most likely indicates that similar customers ignore the offer. Verified References: Pega Decisioning Consultant | Pega Academy


NEW QUESTION # 25
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: B

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 References: [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 # 26
U+ Bank's marketing department wants to use the always-on outbound approach to send promotional emails about credit card offers to qualified customers. As a part of this promotion, the bank wantsto identify the starting population by defining a few high-level criteria ina segment.
For each condition below, select which two conditions should be defined in Segment and which three conditions should be defined in Engagement policy as best practice

Answer:

Explanation:

Explanation:


NEW QUESTION # 27
MyCo, a telecom company, wants to send promotional SMSs with data plan offers to their qualified customers. The business intends to use the same action flow template with their target flow pattern for all the data plan actions.
What do you configure to implement this requirement?

Answer: C


NEW QUESTION # 28
U+ Bank wants to send promotional emails related to credit card offers to their qualified customers. The business intends to use the same action flow template with the desired flow pattern for all the credit card actions.
What do you configure to implement this requirement?

Answer: C

Explanation:
To implement this requirement, you need to configure a dynamic template in Customer Decision Hub. A dynamic template is a type of template that allows you to define a common action flow pattern for a group of actions that share similar characteristics, such as channel, issue, or group. You can specify which properties and components are required for each action in the group, and how they are mapped to the action flow template. This way, you can reuse the same action flow template for all the credit card actions, while still allowing some variations in their content and configuration. Verified References: Pega Academy - Decisioning Consultant - Creating dynamic templates


NEW QUESTION # 29
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