Pegasystems PEGACPLSA88V1 - Certified Pega Lead System Architect (CPLSA) Exam 8.8

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Activities and functions in Pega share certain common features which are vital for their flexibility and maintainability.

Parameterization: Both activities and functions can be parameterized, allowing them to accept input values when they are invoked. This makes them reusable in different contexts by simply changing the parameters.

Versioning: Both activities and functions support versioning. This means you can maintain different versions of an activity or function, which is useful for keeping track of changes and ensuring compatibility with different versions of the application.

References: Pega Platform documentation on activities and functions.

Future Component Application:

Define the case type within a specific ruleset to facilitate its future conversion to a component application.

This allows for better modularization and reuse across different applications.

True Component Conversion:

Structuring the case type in a specific ruleset makes it easier to convert it into a true component in the future.

This approach supports scalability and maintainability of the application.

References:

Pega Academy: Advanced Case Management.

Pega Documentation: Ruleset and Component Management.

Ensuring that new team members adhere to best practices can be efficiently managed through:

Have new team members create and run Pega automated unit tests against their rules (Answer A):

Explanation: Automated unit tests help verify that rules are functioning as intended and conform to best practices. This process also aids in early detection of issues.

ProductionApp 01.01CustomerApp 07.01ServiceApp 01.01EmployeeApp 01.01MyEnterpriseApp 01.02PegaRULES 07.10

The load-datapage activity method is used to initiate the loading of a data page. This method ensures that the data page is populated with the required data by executing its defined source. References:

Pega Documentation on Data Pages: Data Pages

When designing a solution that requires customer data from multiple external systems and ensuring it is as current as possible, consider the following:

Parallel Data Loading: Use the Load-Data Page and Connect-Wait methods to load the data in parallel. This approach improves performance by reducing the time taken to gather the required customer data since multiple data sources are queried simultaneously.

System of Record (SOR) Pattern: Employ the System of Record (SOR) data access pattern to fetch the most current customer data from the external systems directly. This ensures that the data used is up-to-date and reflects the latest information available from the source systems.

References: Pega Platform documentation on data pages, Connect-Wait methods, and data access patterns.

To allow three physicians to review the orders in parallel, you need to use the "Split For Each" shape. This shape enables parallel processing for each item in a list, such as the list of physicians.

Understanding Split For Each Shape in Pega:The "Split For Each" shape allows you to create instances of a subprocess for each item in a specified list. This means each physician can independently review and evaluate the surgical procedure requests simultaneously.

Configuration Steps:

Step 1: Create a list of physicians who will be performing the evaluations.

Step 2: Add a "Split For Each" shape to the process flow.

Step 3: Configure the "Split For Each" shape to iterate over the list of physicians.

Step 4: Define the evaluation subprocess to be called for each physician.

Step 5: Ensure that each physician's evaluation subprocess is independent of the others.

Advantages of Using Split For Each:This approach allows all three physicians to perform their evaluations simultaneously, reducing the overall processing time and ensuring that the process can advance as soon as two out of three evaluations are completed.

References:Pega Documentation on Split For Each shape provides detailed steps on how to configure and use this shape in your process flows.

To improve performance during synchronization for users of an offline-enabled mobile app, it's crucial to manage the data pages that are synchronized. Declaring large data pages in the data page whitelist ensures that only necessary data is preloaded and cached on the device, reducing the amount of data transferred during synchronization and thus improving performance.