Tips to Crack the Pegasystems PEGACPDC25V1 Exam

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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

Topic	Details
Topic 1	Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.
Topic 2	Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 3	Actions and treatments: Focuses on defining and managing customer actions for web and outbound channels.
Topic 4	Engagement policies: Addresses creating engagement policies, strategies, and customer journeys that govern contact timing and frequency.
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	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 7	AI and Arbitration: Explores AI-powered action arbitration, prioritization, and using business levers for action selection.

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q35-Q40):

NEW QUESTION # 35
What significant role can a Switch component play in a decision strategy?

A. It avoids redundant calculations.
B. It pre-calculates the credit score of the customer.
C. It stores the result of the previous component.
D. It displays offers to customers.

Answer: A

NEW QUESTION # 36
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?

A. Enable increasing stage upweighting for the second stage of the journey.
B. Enable constant stage upweighting for the second stage of the journey.
C. Enable increasing stage upweighting for the first stage of the journey.
D. Upweight the propensity by adding more predictors that fit the target customers and repeat this process over time.

Answer: A

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 Reference: [Pega Decisioning Consultant | Pega Academy]

NEW QUESTION # 37
U+ Bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000. What do you configure in the Next-Best-Action Designer to achieve this outcome7

A. Audience
B. Prioritization formula
C. Customer segment
D. Engagement policy condition

Answer: D

Explanation:
An engagement policy condition is a rule that determines whether a customer is eligible, applicable, or suitable for an offer. You can use engagement policy conditions to filter customers based on their attributes or behaviors. In this case, the bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000, so creating an engagement policy condition based on the income attribute is the best option. Verified References: [Pega Decisioning Consultant | Pega Academy]

NEW QUESTION # 38
The development team at U+Bank wants to create multiple test personas for their new engagement strategy quickly. A team member suggests using Pega GenAI features instead of creating a manual persona to improve efficiency and speed up the testing process.
Which advantage does Pega GenAI provide when creating personas compared to manual creation?

A. Pega GenAI allows describing persona traits by using natural language to speed up creation.
B. Pega GenAI automatically builds engagement policies for every persona it creates.
C. Pega GenAI creates personas that do not require validation or review after generation.
D. Pega GenAI removes the need to configure channel context during persona testing.

Answer: A

NEW QUESTION # 39
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:

NEW QUESTION # 40
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Tips to Crack the Pegasystems PEGACPDC25V1 Exam

Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

PEGACPDC25V1 Exam Simulator Online | PEGACPDC25V1 Paper

Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q35-Q40):

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