Pegasystems PEGACPLSA88V1 Exam With Confidence Using Practice Dumps

Criterion 1: Owns a smart mobile

Engagement Policy Level: Group level

Explanation: The criterion "Owns a smart mobile" applies to all data plans and can be considered a group-level policy. It filters the audience at a broader level to ensure they have a smart mobile device.

Criterion 2:

Under graduation student

Engagement Policy Level: Issue level

Explanation: The criterion "Under graduation student" applies to multiple data plans (1 GB and 3 GB) and is more specific to the issue of targeting educational segments. Thus, it is suitable at the issue level.

Criterion 3:

Post graduation student

Engagement Policy Level: Action level

Explanation: The criterion "Post graduation student" is specific to the 5 GB plan and is most appropriate at the action level. This level ensures the targeting is precise for this particular plan.

New customer

Engagement Policy Level: Group level

Explanation: The criterion "New customer" can be applied across multiple offers and thus is suitable for the group level to broadly target new customers.

Existing customer

Engagement Policy Level: Action level

Explanation: The criterion "Existing customer" is applied at the action level to ensure specific offers (3 GB and 5 GB plans) are appropriately targeted to customers who already have a relationship with the company.

Step by Step Comprehensive Detailed Explanation with References:

Group Level Engagement Policy:

Conditions that apply broadly across multiple offers or groups of offers fall under group-level policies. Examples include owning a smart mobile and being a new customer.

Issue Level Engagement Policy:

Conditions that are relevant to a specific issue, such as educational status for specific data plans, are categorized under issue-level policies. This ensures that offers targeting undergraduates are consistently managed.

Action Level Engagement Policy:

Conditions that are specific to individual actions or offers are best managed at the action level. This includes targeting post-graduation students for the 5 GB plan and existing customers for specific plans to ensure precise targeting.

References: Pega's best practices for engagement policies recommend using group-level policies for broad criteria, issue-level for segment-specific conditions, and action-level for highly specific targeting to ensure effective and relevant customer engagement.

To configure a report definition that lists new customer cases created in a given day and the average opening balance for all account child cases for each customer, you should use the "class join" feature in Pega. This feature allows you to join data from different classes, which is essential when dealing with cases and their child cases. Specifically, you can create a join between the customer case class and the account child case class to aggregate the average opening balance.

 Situational Layer Cake™ Concept: This approach allows for different rules to be applied based on varying contexts like geography, business unit, or product line, without duplicating logic that remains consistent across layers.

 Base Layer for Common UI Rules: Placing the UI rules in the base layer ensures that common interface elements are shared across all divisions, promoting reusability and consistency.

 New Layer for Division-specific Rules: Creating a new layer for the payment rules specific to each division allows customization without affecting other parts of the application. This structure enables the organization to handle division-specific requirements (like different payment methods) efficiently.

 Reference: According to Pega’s best practices for layering, it is advised to place common elements in a shared layer and division-specific elements in their respective layers. This method optimizes rule inheritance and specialization (Pega Platform 8.7 Documentation, Layering and Class Structure).