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Pegasystems Exam PEGAPCDC87V1 Topic 5 Question 19 Discussion

Actual exam question for Pegasystems's PEGAPCDC87V1 exam
Question #: 19
Topic #: 5
[All PEGAPCDC87V1 Questions]

U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?

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Suggested Answer: B

To re-implement the bank's traditional marketing campaign using the always-on outbound customer engagement paradigm in Pega, follow these steps:

Understand the Traditional Campaign Requirements:

Day 1: Send an offer email to qualified customers.

Day 3: Send a reminder email to customers who haven't responded to the first email.

Day 7: Send a second reminder to customers who haven't responded to the first two emails.

Set Up Next-Best-Action Designer:

Use the Next-Best-Action Designer to define engagement policies, arbitration, and channels to manage customer interactions.

The always-on approach continuously evaluates customer interactions and selects the best action based on real-time data and AI-driven insights.

Configure the Primary Schedule:

Set up a daily run schedule for the Next-Best-Action strategy. This allows the AI to evaluate customer interactions daily and decide the best action to take.

Leverage AI for Decisioning:

Configure the AI models to determine the best action for each customer based on their interaction history and engagement policies. The AI will automatically handle:

Sending the initial offer email on Day 1.

Sending a reminder email on Day 3 to those who haven't responded.

Sending a second reminder on Day 7 to those who still haven't responded.

Define Engagement Policies:

Eligibility: Define which customers qualify for the offer.

Applicability: Ensure the offer is relevant to the customer.

Suitability: Verify that sending the offer is in the best interest of the customer.

Contact Policies: Set rules to manage the frequency and timing of emails to avoid over-communication.

Implement AI-Driven Actions:

Use the Next-Best-Action strategy framework to select actions (e.g., sending emails) based on the AI model's recommendations.

Configure treatments (email content) and channels (email) within the Next-Best-Action Designer.

Monitor and Adjust:

Continuously monitor the performance of the campaign using Pega's analytics and adjust the strategy as needed to optimize engagement and response rates.


Pega Customer Decision Hub User Guide 8.5: Understanding Next-Best-Action Designer basics, Configuring the Next-Best-Action Designer for Pega Customer Service, Setting constraints contact policy limits and controls.

Contribute your Thoughts:

Brendan
12 days ago
Wait, there's an Arbitration involved? I thought this was a cooking show! Time to turn up the heat on this AI decision-making process.
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Julio
13 days ago
Ah, the age-old dilemma of debugging AI models. I'm going with A) Prioritize, because who doesn't love a good prioritization strategy?
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Alethea
16 days ago
D) Set Property sounds like the way to go. It's where you can define the properties that will be used in the Next-Best-Action decision.
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Alpha
19 days ago
Hmm, I'm not too sure about this one. Maybe C) Group By would be a good option to check the Arbitration results?
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Leota
2 months ago
Hmm, that makes sense. I see your point. Thanks for sharing your perspective.
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Dustin
2 months ago
I think the answer is B) Filter. The Filter component is responsible for ensuring the results from the Arbitration are accurate and aligned with the business rules.
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Patti
12 days ago
B) Filter
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Dalene
15 days ago
A) Prioritize
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Franklyn
2 months ago
I disagree, I believe the answer is B) Filter because it helps in refining the results.
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Leota
2 months ago
I think the correct answer is A) Prioritize.
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