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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

SectionWeightObjectives
Channels10%- Multi-channel delivery
- Real-time containers
- Email and third-party integration
AI and Arbitration8%- Business levers for ranking
- Action arbitration logic
- AI-driven prioritization
Next-Best-Action Concepts12%- Define starting population
- Optimize customer value in contact center
- Customer engagement blueprint
- Optimize Next-Best-Action strategy
- One-to-one customer engagement
- Always-on outbound essentials
Engagement Policies15%- Build engagement strategies
- Define engagement policies
- Design and manage customer journeys
Decision Strategies15%- Design and test decision strategies
- Predictive analytics integration
- Adaptive models
Business Agility in 1:1 Engagement15%- Operational workflows
- Pega GenAI for content and operations
- Change management
Contact Policy and Volume Constraints13%- Set volume limits
- Control outbound exposure
- Prevent action overexposure
Actions and Treatments12%- Present offers on web channels
- Manage customer actions
- Define outbound actions

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q28-Q33):

NEW QUESTION # 28
As a decisioning architect, you are setting up the action hierarchy for MyCo. Select the correct action hierarchy level for each of the hierarchy items identified.

Answer:

Explanation:

Explanation:


NEW QUESTION # 29
In a decision strategy, to use a customer property in an expression, you

Answer: C

Explanation:
In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages & Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies


NEW QUESTION # 30
1yCo, a telecom company, wants to start promoting data plan offers through SMS to qualified customers. The marketing team needs to ensure that the outbound run always uses the latest customer information.
What do you configure to implement this requirement?

Answer: B

Explanation:
To implement this requirement, you need to select the Refresh the audience checkbox in the outbound run configuration. This option allows you to refresh the audience data before each run by executing a data flow that reads from your customer data source and updates your customer data set. This way, you can ensure that the outbound run always uses the latest customer information available in your system. Verified Reference: Pega Academy - Decisioning Consultant - Configuring outbound runs


NEW QUESTION # 31
As a decisioning architect, you advise the board on the business issues for which they must use the Next-Best- Action strategy. Which three business issues do you recommend? (Choose Three)

Answer: A,D,E

Explanation:
The Next-Best-Action strategy is a customer-centric approach that aims to deliver the most relevant and valuable proposition for each customer at any given moment. You can use the Next-Best-Action strategy to address various business issues that involve customer interactions, such as service, retention, and collections.
Service is the process of providing assistance and support to customers who have questions or problems.
Retention is the process of preventing customers from leaving or switching to competitors. Collections is the process of recovering unpaid debts from customers who are delinquent or defaulting on their obligations.
These are all business issues that can benefit from using the Next-Best-Action strategy. Verified References:
[Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 32
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: D

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 Reference: Pega Decisioning Consultant | Pega Academy


NEW QUESTION # 33
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