PEGACPLSA88V1 Exam Dumps - Pegasystems Certified Lead System Architect (CLSA) Questions and Answers

To ensure the performance of a Pega application does not degrade over time, two key recommendations are:

Schedule scripts to maintain frequently fragmented tables (C): Table fragmentation can lead to inefficient database performance. Regular maintenance scripts can help defragment these tables, ensuring that data retrieval remains efficient.

Purge and/or archive records based on the company's record retention policy (D): Over time, the accumulation of records can slow down application performance. Implementing a purge or archive strategy based on the company's retention policy helps manage database size and performance.

References:

Pega Database Management: Best Practices for Database Maintenance

Pega Performance: Improving Application Performance

To minimize development conflicts and work with the most current version of the Policy Administration application:

Periodic Rebasing: Regularly rebase the Policy Administration application to ensure that the Quoting application is built on the most recent version. This practice helps in keeping the applications synchronized and reduces integration issues.

Branch Reviews: Conduct branch reviews when merging branches. This ensures that all changes are thoroughly reviewed and validated before they are integrated, reducing the likelihood of conflicts and maintaining code quality.

References: Pega Platform documentation on branching, rebasing, and branch review processes.

To restrict the ability to withdraw a case to specific users, the following rule types can be used in combination:

Access When (Answer B):

Explanation: An Access When rule can be created to conditionally grant or deny access to the withdraw action based on the user's role and whether they are the creator of the case or a work group manager.

To extend a native mobile app to allow customers to create claims using a claims management application on the Pega platform, you should configure a service that can be called from the native mobile app to create claim cases. This approach allows the native app to interact with the Pega application seamlessly. The Pega platform can then handle the claim processing and push notifications to the mobile app as updates occur.

Regarding inbound email processing:

An incoming email reply is linked to its original case by the case ID in the subject of the email (Answer A):

Explanation: The case ID in the subject line allows the system to match the incoming email with the existing case, ensuring proper tracking and processing.

Create a New Mapping Servlet:

Go to the servlet configuration section in Pega.

Define the New URL Pattern:

Create a unique URL pattern that will be mapped to the new LDAP authentication servlet.

Implement the Servlet Logic:

Ensure the new servlet contains the necessary logic for LDAP authentication.

To extend the Pega Foundation for Healthcare (PFH) data model:

Direct Inheritance for Extension (B):

Use direct inheritance to extend the foundation data model provided by PFH. This ensures that the core data model remains intact while allowing for the addition of new fields and data classes specific to the company's needs.

Pattern Inheritance for Behavior (B):

Utilize pattern inheritance to extend application-specific behavior. This allows for customization and the addition of application-specific logic while maintaining a clear separation from the core data model.

References:

Pega Foundation for Healthcare Implementation Guide

Pega Inheritance Models Documentation

Next-Best-Action Configuration:

In Pega, configure the Next-Best-Action strategy to include customer lifetime value as a factor.

Set Thresholds:

Define thresholds for customer lifetime value to determine what constitutes a high-value proposition.

Prioritization Logic:

Implement logic within the strategy to prioritize actions or offers that align with high customer lifetime value.

 Edit Input Rule: Create an Edit input rule on the customerinfo property. This rule will automatically convert the first and last names to upper case when the data is entered or updated, ensuring consistency.

 Data Transform: Develop a post-processing Data Transform that converts the names to upper case. This Data Transform can be invoked in the flow action to ensure that the names are converted after the user submits the form.

References:

Pega Academy: Configuring Data Transforms and Edit Input Rules

Pega Documentation: Data Transform Rules

Tax Case Type and Specialization:

Create a new tax case type within the Pega Platform application to handle the independent tax processing functionality.

Utilize case type specialization to define different processes for each country. This means creating specialized versions of the tax case type based on the country property.

Country-specific Processes:

Each specialized tax case type will have its own processes tailored to the specific tax regulations and requirements of the respective country.

This allows for the flexibility to handle different tax processing rules and ensures compliance with country-specific tax laws.

Routing and Assignment:

Configure routing rules to assign the tax cases to the appropriate tax consultants based on the country.

Use decision tables or decision trees to determine the correct tax consultant for each case, ensuring that the case is handled by a consultant with the relevant expertise.

Efficiency and Maintenance:

By using case type specialization, the application maintains a clear and organized structure where each country’s tax processing logic is encapsulated within its own specialized case type.

This makes the system easier to maintain and update, as changes to tax processing rules can be made within the specific country’s specialized case type without affecting others.