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Pegasystems PEGACPDC25V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Certified Pega Decisioning Consultant 25
Exam Number:PEGACPDC25V1
Available Languages:English
Related Certifications:Certified Pega Data Scientist
Certified Lead Pega Decisioning Architect
Certificate Validity Period:No expiration announced
Passing Score:70%
Exam Price:USD $190
Exam Format:Multiple Choice
Exam Duration:90 minutes
Real Exam Qty:60
Sample Questions:Pegasystems PEGACPDC25V1 Sample Questions
Exam Way:Online proctored exam through Pearson VUE
Pre Condition:Completion of the Decisioning Consultant learning mission is recommended.
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
  • Actions and treatments: Focuses on defining and managing customer actions for web and outbound channels.
Topic 5
  • Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.
Topic 6
  • Next-Best-Action concepts: Covers one-to-one engagement fundamentals, contact center optimization, always-on outbound strategies, and next-best-action optimization.

Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q89-Q94):

NEW QUESTION # 89

U+ Bank wants to offer credit cards only to low-risk customers. The customers are divided into various risk segments from Good to Very Poor. The risk segmentation rules that the business provides use the Average Balance and the customer Credit Score.
As a decisioning architect, you decide to use a decision table and a decision strategy to accomplish this requirement in Pega Customer Decision Hub.
Using the decision table, which label is returned for a customer with a credit score of 240 and an average balance 35000?

Answer: A

Explanation:
Using the decision table, you can find the label for a customer with a credit score of 240 and an average balance of 35000 by following these steps:
* Start from the top row and check if the customer's credit score is less than 150. If yes, then the label is Very Poor. If no, then move to the next row.
* Check if the customer's credit score is less than 175 and their average balance is less than 25000. If yes, then the label is Poor. If no, then move to the next row.
* Check if the customer's credit score is less than 200 and their average balance is less than 50000. If yes, then the label is Fair. If no, then move to the next row.
* Check if the customer's credit score is less than 250 and their average balance is less than 75000. If yes, then the label is Good. If no, then move to the last row.
* The last row applies to all other cases that do not match any of the previous conditions. The label for this row is Very Poor.
In this case, the customer's credit score is not less than 150, so the first row does not apply. The customer's credit score is less than 175, but their average balance is not less than 25000, so the second row does not apply either. The customer's credit score is not less than 200, so the third row does not apply. The customer's credit score is less than 250 and their average balance is less than 75000, so the fourth row applies. Therefore, the label for this customer is Poor.


NEW QUESTION # 90
An NBA Specialist Is configuring the engagement policy for a new loan offer and wants to validate the policy. What is the best way for the NBA Specialist to validate the engagement policy?

Answer: A


NEW QUESTION # 91
MyCo, a telecom company, developed a new data plan group to suit the needs of its customers. The following table lists the three data plan actions and the criteria that customers must satisfy to qualify for the offer:

Answer:

Explanation:

Explanation:
A screenshot of a computer screen AI-generated content may be incorrect.


NEW QUESTION # 92
An outbound run identifies 150 Standard card offers, 75 on email, and 75 on the SMS channel. If the following volume constraint Is applied, how many actions are delivered by the outbound run?

Answer: A


NEW QUESTION # 93
U+ Bank implemented a customer journey for its customers. The journey consists of three stages. The first stage raises awareness about available products, the second stage presents available offers, and in the last stage, customers can talk to an advisor to get a personalized quote. The bank wants to actively increase offers promotion over time.
What action does the bank need to take to achieve this business requirement?

Answer: B

Explanation:
Increasing stage upweighting is a feature that allows you to gradually increase the weight of a stage over time, making the offers in that stage more likely to be selected. This is useful for promoting offers that are time- sensitive or have a limited availability. In this case, the bank wants to actively increase offers promotion over time, so enabling increasing stage upweighting for the second stage of the journey, where the offers are presented, is the best option. Verified References: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 94
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