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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Engagement policies: Addresses creating engagement policies, strategies, and customer journeys that govern contact timing and frequency.
Topic 2
  • Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.
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
  • Next-Best-Action concepts: Covers one-to-one engagement fundamentals, contact center optimization, always-on outbound strategies, and next-best-action optimization.
Topic 5
  • Actions and treatments: Focuses on defining and managing customer actions for web and outbound channels.
Topic 6
  • Channels: Covers implementing real-time containers, offer emails, and third-party integrations for multi-channel delivery.
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 (Q36-Q41):

NEW QUESTION # 36
U+ Bank's marketing department wants to use the always-on outbound approach to send promotional emails about credit card offers to qualified customers. As a part of this promotion, the bank wantsto identify the starting population by defining a few high-level criteria ina segment.
For each condition below, select which two conditions should be defined in Segment and which three conditions should be defined in Engagement policy as best practice

Answer:

Explanation:


NEW QUESTION # 37
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: D

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 References: Pega Academy - Decisioning Consultant - Configuring outbound runs


NEW QUESTION # 38
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: B

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 References: Pega Decisioning Consultant | Pega Academy


NEW QUESTION # 39
U+ Bank has recently implemented Pega Customer Decision Hub. As a first step, the bank went live with the contact center to improve customer engagement. Now, U+ Bank wants to extend its customer engagement through the web channel. As a decisioning architect, you have created the new set of actions, the corresponding treatments, and defined a new trigger in the Next-Best-Action Designer for the new web channel.
What else do you configure for the new treatments to be present in the next-best-action recommendations?

Answer: B

Explanation:
When you create a new trigger in the Next-Best-Action Designer, Pega Customer Decision Hub automatically generates a decision strategy for that trigger and channel. You do not need to create or modify any strategies manually. Verified References: Pega Academy - Decisioning Consultant - Creating triggers


NEW QUESTION # 40
A decisioning architect wants to use the customer properties income and age in a Filter component. Which decision component is required to enable access to these properties?

Answer: B

Explanation:
To enable access to customer properties in a Filter component, you need to use a Data Import component. A Data Import component allows you to read data from various sources, such as data sets, data pages, or data flows, and make it available for other components in the strategy. In this case, you need to use a Data Import component that reads from a customer data source that contains income and age properties. Verified References: Pega Academy - Decisioning Consultant - Importing data


NEW QUESTION # 41
......

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