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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Actions and treatments: Focuses on defining and managing customer actions for web and outbound channels.
Topic 2
  • Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 3
  • Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.
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.

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q15-Q20):

NEW QUESTION # 15
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. After 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


NEW QUESTION # 16
What significant role can a Switch component play in a decision strategy?

Answer: D


NEW QUESTION # 17
You are the decisioning architect 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?

Answer: C

Explanation:
The prioritization expression is a formula that calculates the priority score of each offer for each customer, based on various factors that reflect the customer needs and the business objectives. One of the most important factors is the predicted customer behavior, which is measured by the propensity. The propensity is a value that indicates 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. The higher the propensity, the higher the priority score, making the offer more relevant and valuable for the customer. Verified References: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 18
U+ Bank is designing a customer journey to increase credit card usage among new customers. The journey includes several stages with specific actions triggered by customer behavior. The bank wants to ensure that customers receive the most relevant actions based on their engagement.
Which stage arbitration option should the NBA Specialist select to ensure that customers always progress in the journey without reverting to previous stages?

Answer: A


NEW QUESTION # 19
U+- Bank, a retail bank, has recently Implemented a project in which qualified customers see mortgage offers when they log in to the web self-service portal.
Currently, only the customers who satisfy the following engagement policy conditions receive the Fifteen-year fixed-rate mortgage offer:

The bank decides to make two changes:
1. Update the suitability condition for the Fifteen-year fixed-rate mortgage offer.
2. Introduce a new offer, Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:

What is the best practice to fulfill this change management requirement in the business operations environment?

Answer: C


NEW QUESTION # 20
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