The Salesforce Certified Omnistudio Developer (Plat-Dev-210) (OmniStudio-Developer)

According to the Integration Procedure Actions page, a Calculation Action can be used to “call a Calculation Procedure that performs calculations on input data” and a Matrix Action can be used to “call a Calculation Matrix that performs calculations on input data”. 

 According to the FlexCard Designer Overview page, one possible cause of a field showing only the label is that “the field name in the FlexCard state does not match the DataRaptor Extract’s Output JSON Path name”. 

 A DataRaptor Extract can retrieve data from multiple objects using extraction steps and JSON paths. However, if the data is from a single object, only one extraction step is needed. The Extract JSON Path can use dot notation to access related fields from that object, such as Contact.Account.Name.

According to Salesforce OmniStudio Integration Procedures documentation, when working with deeply nested JSON, Integration Procedures are ideal. They allow developers to flatten and manipulate JSON data, especially when handling external responses.

C. Integration Procedure – This is correct. IPs provide Response Transformers, DataRaptor Transforms, and Response Actions to reshape and simplify nested data structures for consumption by front-end components.

Incorrect Options:

A. DataRaptor Transform is used inside IPs but cannot directly handle external HTTP calls or manage complex orchestration.

B. HTTP Action Element is used inside an Integration Procedure, but by itself, it does not process or simplify the data.

D. Guided Workflow is not a recognized OmniStudio component for data transformation.

OmniStudio Integration Procedures Guide → Handling Nested JSON

The correct answer is D. Data Mapper Turbo Extract, based on best practices in the official OmniStudio documentation.

From the OmniStudio Developer Guide → DataRaptors → Turbo Extract:

DataRaptor Turbo Extract is a lightweight, high-performance extract designed specifically for retrieving data from a single Salesforce object, where no data transformation or complex joins are required.

It is recommended over DataRaptor Extract for performance reasons when only one object and minimal transformation is needed.

Why not the others?

A. DataRaptor Load is used for writing data to Salesforce, not retrieving.

B. DataRaptor Transform is used when you need to transform data, not simply extract it.

C. DataRaptor Extract can be used, but Turbo Extract is preferred for the use case of single object, no transformation — per best practices.

Salesforce OmniStudio Developer Guide → DataRaptor Turbo Extract Best Practices

OmniStudio Certification Study Guide → " When to use Turbo Extract "

 The Use Data JSON property must be selected in the properties of the Type Ahead Block in order to display the fetched data in the fields. The Lookup Mode property is used to specify the type of lookup to perform. The FirstName, LastName, and BirthDate fields can be placed inside or outside the Type Ahead Block. The typeHead key is in the correct format.

 The merge code syntax for passing data from a DataRaptor Extract Action to an HTTP Action is %DataRaptorName: NodeName%. In this case, it is %DRReadCase: CaseNumber%.

The FlexCard Player component is used to display FlexCards in a community page. The developer needs to add the FlexCard’s API name to the FlexCard Player component to configure the FlexCard for deployment in a community.

According to the Salesforce OmniStudio DataRaptor documentation, specifically under DataRaptor Load Best Practices and Common Issues:

A. “The Input JSON paths in the Data Mapper Load do not match the JSON sent from the OmniScript.”This is a common configuration issue. If the paths between the OmniScript ' s structure and the DataRaptor Load mapping are mismatched, fields may not map correctly, resulting in partial updates or no updates.

B. “The fields that are not updated are read-only in Salesforce.”If a field is Read-Only at the field-level security (FLS) or object schema, DataRaptor Load will not be able to write to it, which explains why only some data is updated.

Incorrect Options:

C. The RecordId from the wrong record type would typically cause a complete failure, not a partial update.

D. A misspelled ContextId could prevent data from being linked correctly, but this is less likely to cause partial field-level issues, and more likely to affect record association.

Salesforce OmniStudio Developer Guide → DataRaptor Load → Troubleshooting

Salesforce Help Documentation: OmniStudio DataRaptor Best Practices