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Pegasystems Certified professionals are often more sought after than their non-certified counterparts and are more likely to earn higher salaries and promotions. Moreover, cracking the Certified Pega Decisioning Consultant 25 (PEGACPDC25V1) exam helps to ensure that you stay up to date with the latest trends and developments in the industry, making you more valuable assets to your organization.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Decision Strategies | 15% | - Predictive analytics integration - Adaptive models - Design and test decision strategies |
| Topic 2: Next-Best-Action Concepts | 12% | - One-to-one customer engagement - Optimize Next-Best-Action strategy - Customer engagement blueprint - Always-on outbound essentials - Optimize customer value in contact center - Define starting population |
| Topic 3: Contact Policy and Volume Constraints | 13% | - Prevent action overexposure - Set volume limits - Control outbound exposure |
| Topic 4: Business Agility in 1:1 Engagement | 15% | - Pega GenAI for content and operations - Operational workflows - Change management |
| Topic 5: Channels | 10% | - Real-time containers - Email and third-party integration - Multi-channel delivery |
| Topic 6: Actions and Treatments | 12% | - Define outbound actions - Present offers on web channels - Manage customer actions |
| Topic 7: Engagement Policies | 15% | - Build engagement strategies - Define engagement policies - Design and manage customer journeys |
| Topic 8: AI and Arbitration | 8% | - AI-driven prioritization - Action arbitration logic - Business levers for ranking |
>> PEGACPDC25V1 Valid Test Question <<
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NEW QUESTION # 15
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.
As a decisioning architect, what must you do to present offers from the two groups?
Answer: C
Explanation:
To present offers from the two groups, you must map a real-time container to the Top-level or Issue-level. A real-time container is a configuration that defines how to deliver offers and treatments to a specific channel, such as a website or a mobile app. By mapping a real-time container to the Top-level or Issue-level, you can enable all the offers under that level to be available for delivery through that channel. Verified Reference: Pega Academy - Decisioning Consultant - Configuring real-time containers
NEW QUESTION # 16
As a Customer Service Representative, you present an offer to a customer who called to learn more about a new product. The customer rejects the offer. What is the next step that Pega Customer Decision Hub takes?
Answer: A
Explanation:
Pega Customer Decision Hub is a dynamic and adaptive system that constantly reevaluates the Next-Best-Action for each customer based on their interactions and feedback. If a customer rejects an offer, the system will update the customer profile and the offer performance, and then reapply the Next-Best-Action strategy to select and prioritize another offer that is more relevant and valuable for the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 17
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?
Answer: A
Explanation:
Next-Best-Action is a type of decision that involves selecting and prioritizing the most appropriate proposition for each customer at any given moment. Next-Best-Action can be applied to decisions that require customer-centricity, personalization, and contextualization. Determining if a borrower gets a loan is an example of such a decision, as it depends on the customer's attributes, behaviors, preferences, and needs. The other options are examples of decisions that are not related to customer interactions, but rather to operational or analytical processes. Verified References: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 18
MyCo, a telecom company, uses Pega Customer Decision Hub to present offers to qualified customers. The business recently decided to send offer messages through the email channel. The Design department has designed an email treatment which includes dynamic placeholders.
As a deaccessioning architect, what do you use in order to test the visualization and the rendering of the email content, including replacing of the placeholders with customer information?
Answer: B
Explanation:
To test the visualization and the rendering of the email content, including replacing of the placeholders with customer information, you use a seed list from the Test email tab. A seed list is a predefined set of customers that you can use to test your email treatments before sending them to your target audience. You can select one or more customers from the seed list and send them a test email with your treatment. You can then verify how the email looks in their inbox and how the placeholders are replaced with their actual values. Verified Reference: [Pega Academy - Decisioning Consultant - Testing email treatments]
NEW QUESTION # 19
U+ Bank's marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want to show offers on a customer's account page if the customer has already received three home loan offers in the last two weeks.
What do you need to define to implement the business requirement?
Answer: C
Explanation:
A suppression policy allows you to define conditions that prevent customers from receiving an action or a group of actions. You can use a suppression policy to implement the requirement that customers do not see home loan offers on their account page if they have already received three home loan offers in the last two weeks. You can configure the suppression policy to suppress the home loan group based on the number of times the customer received any action from that group in the past 14 days. 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 they received an action. Customer contact limits are used to limit the number of times a customer can be contacted per channel per time period, not based on the number of times they received an action. Volume constraints are used to limit the number of times an action is presented to customers across one or more channels, not based on the number of times they received an action. Verified References:
[Certified Pega Decisioning Consultant | Pega Academy], Suppression policies
NEW QUESTION # 20
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