Pegasystems Certified Pega Lead System Architect (CPLSA) Exam 8.8 PEGACPLSA88V1 Exam Dumps: Updated Questions & Answers (July 2025)

For managing a 30-person development team located across the globe:

C. Large development instance:

A large development instance in Pega Cloud is designed to support extensive development activities for large teams. It provides the necessary resources, scalability, and performance required for a 30-person development team working globally.

References:

Pega Documentation on Pega Cloud Environments: Pega Cloud Environments

This comprehensive approach ensures that all the answers are verified and supported by references to Pega Lead System Architect documentation.

Several factors can contribute to delays in sending correspondence in a Pega application:

Queued SLA Objects: The number of Service Level Agreement (SLA) objects queued can affect the timing of correspondence. If there are many SLA objects queued, the system may take longer to process them, leading to delays.

Error Handling for Locked Items: If there are errors in handling locked items, this can also cause delays. When an item is locked and an error occurs, the system needs to manage these exceptions, which can impact the overall processing time.

References: Pega Platform documentation on SLA and error handling mechanisms.

Define Privilege:

Create a privilege specific to the section containing personal data.

Assign Privilege:

Assign this privilege to roles associated with managers in the HR organization.

To address difficulty in creating a customer service request through Facebook Messenger:

Change the text analyzer configured for the channel (Answer C):

Explanation: The text analyzer is responsible for interpreting user input. Improving its configuration can enhance its ability to understand and process customer requests more accurately.

To address the requirement where users working in one application need to create cases in another application, the recommended approach is to implement Federated Case Management (FCM).

Federated Case Management: FCM allows different Pega applications to share and manage cases across multiple systems. This approach enables seamless case creation and management, ensuring that users can interact with cases regardless of the application they are working in.

Synchronization and Communication: FCM facilitates synchronization and communication between different Pega instances, ensuring that case data is consistent and accessible across the applications.

References: Pega Platform documentation on Federated Case Management.

Summarize Function with Filter Condition After Aggregation:

Using a report with a summarize function on Quantity and a filter condition applied after aggregation ensures that the report accurately displays categories with more than 5 items ordered.

References:

Pega documentation on report definitions and aggregation functions outlines how to apply filters after summarizing data to meet reporting requirements.

Therefore, the correct answer is:

C. A report with a summarize function on Quantity and filter condition Sum (Quantity) > 5 that the system applies after aggregation.

Certain scenarios do not require an application server restart:

When deploying rule only hotfixes (Answer A):

Explanation: Rule-only hotfixes update rules in the application without requiring a full server restart, allowing changes to take effect immediately.

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.

For validating the BenefitType property value, the recommended approach is:

When Rule and Relevant Record (D):

A System Architect creates a When rule in Dev Studio, referencing the ClaimBenefit Clipboard page on the Pages & Classes tab.

The rule is marked as a relevant record, making it available for Citizen Developers to use. This approach ensures that the validation logic is centrally defined and easily accessible for reuse.

References:

Pega Dev Studio Documentation on Creating When Rules

Pega Documentation on Marking Rules as Relevant Records

To address the complaints from customers and prospects about receiving irrelevant offers and products, the following two Pega solutions can be implemented:

Pega Marketing: This solution helps in creating personalized marketing campaigns. By leveraging predictive analytics and customer data, it ensures that the marketing efforts are relevant and targeted. This reduces the chances of customers receiving irrelevant offers.

Customer Decision Hub: This hub centralizes the decision-making process by using real-time data and analytics to personalize interactions with customers. It helps in understanding customer needs and preferences better, thus preventing the delivery of irrelevant offers.

References:

Pega Marketing Overview

Customer Decision Hub