In which three situations can you use a data transform? (Choose Three)
Data transforms are versatile tools in Pega used for manipulating and setting property values. They are suitable for: A. Combining first and last names into a single property value, thereby consolidating data. C. Creating and initializing properties that depend on other data inputs or events occurring post-case creation. D. Setting initial or default values for properties within a case to standardize data inputs or to streamline case processing.
A company requires that patients receive status updates during processing of medical tests.
Patients are not users of the application. You create the work party for the patient as an instance of which class?
In Pega applications, work parties represent entities associated with a case. When configuring status updates for patients who are not users of the application, it is essential to use a class that accurately represents external individuals.
A . Data-Party-Person: This class is designed to represent individual people as parties in a case. Using this class to create a work party for a patient allows the application to store relevant personal information and contact details necessary for sending status updates about medical test processing. Since patients are the recipients of the information and not operators or organizational entities within the system, this class is the most appropriate choice.
The other options, such as Data-Party-Operator (used for application users), Data-Party-Org (used for organizations), and Data-Party-Com (used for commercial entities), do not fit the context of individual patients receiving updates.
Users create Insurance Coverage Request Cases to authorize insurance payments. Users enter information that includes the name of the patient, the date of the procedure and the type of the procedure. After entering the information, the user submits the request for a review of the patient's insurance policy. Because multiple users enter requests, the duplicate requests can occur. A request is considered a duplicate if the patient name, procedure type, and procedure date match an existing request. You have been given two requirements:
Ensure that users can identify duplicate requests. If a case is duplicated, it is not written to the database. Otherwise, write the case to the database. Which two options configure the application so that users can identify duplicate requests? (Choose two)
To prevent duplicate insurance coverage request cases from being entered into the database, the following configurations would be appropriate:
A . Add a duplicate search step to the case life cycle design. This step is integrated into the case life cycle to automatically check for duplicates at a specific point in the case processing, typically before the data is submitted for further processing or saved to the database.
B . Configure a duplicate search decision table and add it to a Decision shape. This approach uses a decision table to define the criteria for what constitutes a duplicate (e.g., matching patient name, procedure type, and date). The decision shape then uses this table to determine if the current case is a duplicate, preventing it from proceeding if it is.
How do you propagate data to a new child case in Pega Express?
In Pega Express, when creating a new child case, the 'Create Case' shape in the case designer is used to configure the propagation of data from a parent case to a child case. This shape can be configured to copy specified properties to the new child case, ensuring that necessary data is automatically carried forward. This configuration is essential for maintaining data consistency and relevance across related cases, facilitating seamless case management and data integrity.
Which requirement is satisfied by configuring a service level agreement?
Service Level Agreements (SLAs) in Pega are used to define and enforce time limits for completing work and other time-based conditions:
B . A transaction review is completed within 24 hours. This is a direct application of SLAs, where a specific time frame (24 hours) is set as a target for completing a process step, such as a transaction review. SLAs ensure that such time-bound requirements are met, facilitating prompt and efficient service delivery.
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