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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Actions and Treatments | 12% | - Manage customer actions - Define outbound actions - Present offers on web channels |
| Topic 2: Decision Strategies | 15% | - Adaptive models - Predictive analytics integration - Design and test decision strategies |
| Topic 3: Next-Best-Action Concepts | 12% | - One-to-one customer engagement - Optimize customer value in contact center - Optimize Next-Best-Action strategy - Customer engagement blueprint - Always-on outbound essentials - Define starting population |
| Topic 4: Business Agility in 1:1 Engagement | 15% | - Operational workflows - Change management - Pega GenAI for content and operations |
| Topic 5: Channels | 10% | - Email and third-party integration - Real-time containers - Multi-channel delivery |
| Topic 6: AI and Arbitration | 8% | - Action arbitration logic - Business levers for ranking - AI-driven prioritization |
| Topic 7: Engagement Policies | 15% | - Design and manage customer journeys - Build engagement strategies - Define engagement policies |
| Topic 8: Contact Policy and Volume Constraints | 13% | - Prevent action overexposure - Set volume limits - Control outbound exposure |
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NEW QUESTION # 67
As a decisioning architect, you advise the board on the business issues for which they must use the Next-Best-Action strategy. Which three business issues do you recommend? (Choose Three)
Answer: A,C,D
Explanation:
The Next-Best-Action strategy is a customer-centric approach that aims to deliver the most relevant and valuable proposition for each customer at any given moment. You can use the Next-Best-Action strategy to address various business issues that involve customer interactions, such as service, retention, and collections. Service is the process of providing assistance and support to customers who have questions or problems. Retention is the process of preventing customers from leaving or switching to competitors. Collections is the process of recovering unpaid debts from customers who are delinquent or defaulting on their obligations. These are all business issues that can benefit from using the Next-Best-Action strategy. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 68
MyCo, a telecom company, recently introduced a new mobile handset offer, MyFone 14 Pro, for its premium customers. As the bank has financial targets to meet, the business decides to boost the MyFone 14 Pro offer.
As a decisioning architect, how can you ensure that the MyFone 14 Pro offer is prioritized over other offers?
Answer: B
Explanation:
The business weight is a parameter that allows you to manually adjust the priority of an offer based on your business objectives and preferences. The business weight is multiplied by the business value and the propensity to calculate the final priority score of an offer. A higher business weight means a higher priority score, making the offer more likely to be selected and presented to the customer. Therefore, if you want to boost an offer, you can increase its business weight. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 69
U+ Bank, a retail bank, uses the business operations environment to perform its business changes. The bank completes these changes by using revision management features of Pega Customer Decision Hub and 1:1 Operations Manager.
Customers see credit card offers based on various engagement policies on the U+ Bank website. The bank wants to update the underlying decision strategy of an engagement policy condition.
According to best practices, which statement correctly describes the implementation of the change to fulfill this business requirement?
Answer: C
Explanation:
According to the best practice, a next-best-action designer should modify the decision strategy in Customer Decision Hub, because the decision strategy is part of the next-best-action framework that defines how to select and prioritize propositions for each customer. The 1:1 Operations Manager portal is used to manage the engagement policies and propositions, not the decision strategies. Verified References: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 70
A bank has been running traditional marketing campaigns for many years. One such campaign sends an offer email to qualified customers on day one. On day five, the bank presents a similar offer if the first email is ignored.
If you re-implement this requirement by using the always-on outbound customer engagement paradigm, how do you approach this scenario?
Answer: C
Explanation:
The always-on outbound customer engagement paradigm relies on AI to select the best action for each customer at any given time, based on their profile, context, and behavior. You do not need to create separate segments or schedules for different offers or timings. You can configure the primary schedule to run daily and let the AI choose the best action based on engagement policies, such as contact policies, eligibility rules, suitability rules, and arbitration. The AI will also learn from the customer responses and optimize the action selection over time.
NEW QUESTION # 71
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
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 # 72
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