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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Agility in 1:1 Engagement | 15% | - Change management - Pega GenAI for content and operations - Operational workflows |
| Topic 2: Contact Policy and Volume Constraints | 13% | - Set volume limits - Prevent action overexposure - Control outbound exposure |
| Topic 3: AI and Arbitration | 8% | - AI-driven prioritization - Business levers for ranking - Action arbitration logic |
| Topic 4: Decision Strategies | 15% | - Design and test decision strategies - Predictive analytics integration - Adaptive models |
| Topic 5: Actions and Treatments | 12% | - Manage customer actions - Define outbound actions - Present offers on web channels |
| Topic 6: Engagement Policies | 15% | - Design and manage customer journeys - Build engagement strategies - Define engagement policies |
| Topic 7: Next-Best-Action Concepts | 12% | - One-to-one customer engagement - Define starting population - Always-on outbound essentials - Optimize customer value in contact center - Customer engagement blueprint - Optimize Next-Best-Action strategy |
| Topic 8: Channels | 10% | - Real-time containers - Multi-channel delivery - Email and third-party integration |
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NEW QUESTION # 74
U+ Bank implemented a customer journey for Its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the Journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?
Answer: D
NEW QUESTION # 75
In the following figure, a volume constraint uses the Return any action that does not exceed constraint mode with the three following action type constraints that have remaining limits:
1.Maximum 50 Daily with Action: Protect Your Device, 5 remaining
2.Maximum 75 Daily with Action: MyFone Buds, 7 remaining
3.Maximum 25 Daily with Action: MyFone AirPods Pro, 0 remaining
A customer, CUST-01, qualifies for all the three actions. Given this scenario, how many actions does the system select for CUST-01 in the outbound run?
Answer: D
NEW QUESTION # 76
U+ Bank wants to offer credit cards only to low-risk customers. The customers are divided into various risk segments from Good to Very Poor. The risk segmentation rules that the business provides use the Average Balance and the customer Credit Score.
As a decisioning architect, you decide to use a decision table and a decision strategy to accomplish this requirement in Pega Customer Decision Hub.
Using the decision table, which label is returned for a customer with a credit score of 240 and an average balance 35000?
Answer: A
Explanation:
Using the decision table, you can find the label for a customer with a credit score of 240 and an average balance of 35000 by following these steps:
Start from the top row and check if the customer's credit score is less than 150. If yes, then the label is Very Poor. If no, then move to the next row.
Check if the customer's credit score is less than 175 and their average balance is less than 25000. If yes, then the label is Poor. If no, then move to the next row.
Check if the customer's credit score is less than 200 and their average balance is less than 50000. If yes, then the label is Fair. If no, then move to the next row.
Check if the customer's credit score is less than 250 and their average balance is less than 75000. If yes, then the label is Good. If no, then move to the last row.
The last row applies to all other cases that do not match any of the previous conditions. The label for this row is Very Poor.
In this case, the customer's credit score is not less than 150, so the first row does not apply. The customer's credit score is less than 175, but their average balance is not less than 25000, so the second row does not apply either. The customer's credit score is not less than 200, so the third row does not apply. The customer's credit score is less than 250 and their average balance is less than 75000, so the fourth row applies. Therefore, the label for this customer is Poor.
NEW QUESTION # 77
To access a property from an unconnected component, you use the
Answer: A
Explanation:
To access a property from an unconnected component, you use the component-dot-property construct. For example, if you want to access the property .Rank from an unconnected component named ActionRanking, you use ActionRanking.Rank. Verified Reference: Pega Academy - Decisioning Consultant - Accessing properties from unconnected components
NEW QUESTION # 78
U+ Bank uses a scorecard rule in a decision strategy to compute the mortgage limit for a customer. U+ Bank updated their scorecard to include a new property in the calculation: customer income.
What changes do you need to make in the decision strategy for the updated scorecard to take effect?
Answer: A
Explanation:
The score calculation is independent of the strategy and no change is required. When you use a scorecard component in a decision strategy, you only need to specify the name of the scorecard rule and the output property that will store the score value. The scorecard rule itself defines how the score is calculated based on the input properties and factors. Therefore, if you update the scorecard rule to include a new property in the calculation, you do not need to make any changes in the decision strategy for the updated scorecard to take effect. Verified Reference: [Pega Academy - Decisioning Consultant - Using scorecards]
NEW QUESTION # 79
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