Pegasystems PEGACPLSA88V1 Exam With Confidence Using Practice Dumps

To improve performance when fetching data from an external source in a cloud-deployed application, you should configure the data page to use a predefined key. This approach allows the data to be loaded once and then accessed quickly for subsequent requests.

Understanding Data Pages in Pega:Data pages in Pega are used to cache data, so it doesn't have to be retrieved from the source every time it is needed. Using a predefined key means that the data page is loaded with specific data that can be reused.

Configuring Data Pages with Predefined Keys:

Step 1: Define a data page and configure it to use a key for accessing data.

Step 2: Ensure the data page is set to load on demand or at a specific point in the process.

Step 3: Once the data is loaded with the predefined key, subsequent accesses to this data page will be faster because the data is already available in the cache.

Advantages of Using Predefined Keys:This approach reduces the need to repeatedly fetch data from the external source, thereby improving performance and reducing network latency issues in cloud environments.

References:Pega Documentation on Data Pages and best practices for caching and data retrieval provides detailed steps and examples on how to configure data pages with predefined keys for optimized performance.

For modeling different types of vehicles in an insurance quote application:

Separate Data Types:

Create a distinct data type for each vehicle type (e.g., Car, Motorcycle, Truck). This allows for specific properties and business logic for each vehicle type.

Single Vehicle Page List:

Maintain a single page list property in the quote case type to hold vehicle details.

At runtime, dynamically identify the page class for each entry in the list based on the type of vehicle being processed. This approach allows for flexibility and maintainability.

References:

Pega Data Modeling Best Practices

Pega Case Management Guide

 Indexing: Adding indexes to columns involved in equality comparisons can significantly improve query performance by reducing the need for full table scans.

 Implementation: Identify the columns frequently used in WHERE clauses and create indexes for these columns in the database. This optimization reduces query execution time and enhances overall application performance.

References:

Pega Academy: Database Optimization Techniques

Pega Documentation: Indexing Database Tables