Salesforce OmniStudio-Consultant Exam With Confidence Using Practice Dumps

The two cases where an integration procedure should be used as a data source for FlexCards and OmniScripts are: To retrieve multiple data sources in a single response and To separate the user interface from changes in the data sources. An integration procedure is a tool that can execute multiple DataRaptor actions, such as Extract, Transform, and Load, and also invoke REST or SOAP services. The consultant can use an integration procedure as a data source for FlexCards and OmniScripts when they need to retrieve data from different sources, such as Salesforce objects or external systems, and store it in a JSON object for display. This way, the integration procedure can provide multiple data sources in a single response, without requiring multiple elements or actions in the FlexCard or OmniScript. The consultant can also use an integration procedure as a data source for FlexCards and OmniScripts when they want to separate the user interface from changes in the data sources. This way, the integration procedure can handle any changes in the data sources without affecting the FlexCard or OmniScript design or configuration.

The feature that the consultant should recommend to improve performance and address users’ concerns is chaining. Chaining is a property that allows an Integration Procedure Action element to run asynchronously in the background, without blocking the user interface. The consultant can use chaining to execute the long-running process in parallel with other actions or steps in the OmniScript, and notify the user when it is completed. This will improve the user experience and reduce waiting time

 The OmniStudio tool that is optimized for performance and minimizes configuration time is DataRaptor Turbo Extract. A DataRaptor Turbo Extract is a tool that can retrieve data from one or more Salesforce objects using a graphical interface, without writing any SOQL queries. A DataRaptor Turbo Extract can also use filters, joins, and formulas to manipulate the data. A DataRaptor Turbo Extract is faster and more efficient than a DataRaptor Extract, and can handle large amounts of data without hitting governor limits