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| Section | Objectives |
|---|---|
| Topic 1: Reporting and Monitoring | - Performance tracking
|
| Topic 2: Decision Strategies and Configuration | - Real-time decisioning
|
| Topic 3: AI and Adaptive Analytics | - Machine learning in decisioning
|
| Topic 4: Customer Decision Hub Overview | - Engagement Policy Design
|
| Topic 5: Customer Engagement and Channels | - Omnichannel delivery
|
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NEW QUESTION # 33
A customer qualifies for Standard card (priority 60), Rewards card {priority 40), and Premium card {priority 30). Standard card volume is exhausted. Rewards card has remaining volume, and Premium card has remaining volume. The system uses "Return any action that does not exceed constraint" mode.
Which actions does the customer receive in this scenario?
Answer: D
NEW QUESTION # 34
U+ Bank has recently defined two contact policies:
1. Suppress a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days.
2. Suppress the Reward card offer, part of the credit card group, for 7 days if it is rejected twice in any channel in the last 7 days. Paul, an existing U+ Bank customer, no longer sees the Reward card offer. What is the reason that Paul cannot see the offer?
Answer: D
Explanation:
Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:
This is a screenshot of a table with four columns and two rows.
The table has a header row with white text on a blue background.
The header row reads "Constraint name", "Constraint mode", "Constraint value", and "Channel".
The second row has black text on a white background.
The second row reads "Standard card", "Return any action that does not exceed", "100", and "Daily".
The table has a gray border and a light blue background.
NEW QUESTION # 35
U+ Bank, a retail bank, has purchased Pega Customer Decision Hub. The bank currently uses an external tool to design email content and a third-party email service provider to send emails to its customers.
As a decisioning architect, how do you recommend the bank implements this requirement?
Answer: D
Explanation:
To implement this requirement, you need to create an external email treatment and use an external tool to design the email. An external email treatment is a type of treatment that allows you to use a third-party email service provider to send emails to your customers. You can configure the external email treatment with the name of the provider, the authentication details, and the template ID that corresponds to the email content that you design using an external tool. This way, you can leverage your existing tools and processes for sending emails, while still using Customer Decision Hub to select the best actions and treatments for your customers.
Verified References: Pega Academy - Decisioning Consultant - Creating external treatments
NEW QUESTION # 36
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 References: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies
NEW QUESTION # 37
You are the decisioning architect on an Al-powered one-to-one customer engagement implementation project. You are asked to design the next-best-action prioritization expression that balances the customer needs with the business objectives.
What factor do you consider in the prioritization expression?
Answer: D
Explanation:
The prioritization expression is a formula that calculates the priority score of each offer for each customer, based on various factors that reflect the customer needs and the business objectives. One of the most important factors is the predicted customer behavior, which is measured by the propensity. The propensity is a value that indicates 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. The higher the propensity, the higher the priority score, making the offer more relevant and valuable for the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 38
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