Explanation:

The consultant can improve the user experience of the OmniScript by using a Section element to break the information and a Headline element to add the title and a required icon in the input. A Section element can group related fields and elements in a logical way, making it easier for the user to navigate and fill the information. A Headline element can display a label and an icon for each field, indicating which ones are mandatory. This way, the OmniScript can display the information in a specific order and prevent errors and failures.

Explanation:

The two actions that the consultant should recommend to the project team are replace existing APEX using DataRaptors and HTTPActions, and implement FlexCards and OmniScripts for the front-end. Replacing existing APEX using DataRaptors and HTTPActions would reduce implementation time, as these tools are declarative and do not require coding. Implementing FlexCards and OmniScripts for the front-end would ensure end-user processes are as simple as possible, as these tools provide guided interactions and contextual data. Creating new LWC templates for branding and styling would increase implementation time, as this would require coding and testing. Using existing APEX classes as data sources would not ensure optimal UX, as this would limit the flexibility and scalability of the solution.

Explanation:

The key difference between Integration Procedures and DataRaptors is that Integration Procedures can access data from external sources, while DataRaptors can only access data from Salesforce. Integration Procedures allow the designer to create complex API queries declaratively using HTTP Actions or SOAP Actions. DataRaptors allow the designer to read, transform, and write data between Salesforce objects or fields. Both Integration Procedures and DataRaptors can invoke multiple actions in a single server call, and both can retrieve data from multiple related objects.

Explanation

The core requirement is to retrieve and filter a list of records (Cases) based on specific criteria (related Asset and service date). This is the exact purpose of a DataRaptor Extract.

Why B is Correct (DataRaptor Extract): A DataRaptor Extract is specifically designed to query and retrieve data from Salesforce objects or external systems. It allows you to:

Define the source object (e.g., Case).

Apply filters (e.g., Case.AssetId = [Input Asset Id] and Asset.Last_Service_Date__c > [Input Date]).

Map the resulting fields to a structured JSON output that can be used by a FlexCard, OmniScript, or Integration Procedure.

Why A is Incorrect (DataRaptor Turbo):"Turbo" refers to the performance engine (Turbo Extract, Turbo Load). It is a subtype, not a primary type. You would use a DataRaptor Turbo Extract for this task, which is a high-performance version of option B. Since "DataRaptor Turbo" alone is ambiguous and not a selectable type, the correct and precise answer is DataRaptor Extract.

Why C is Incorrect (DataRaptor Load): A DataRaptor Load is used to create, update, or upsert records in Salesforce or an external system. It is for writing data, not for reading and retrieving filtered lists of data.

Why D is Incorrect (DataRaptor Transform): A DataRaptor Transform is used to restructure data from one format to another. It is typically used in the middle of an Integration Procedure to map the output of one step into the input format required for the next step (e.g., transforming Salesforce data into an external system's JSON schema). It is not the primary tool for querying a database with filters.

Reference & Key Concept

The key is to match the DataRaptor type to the data operation:

To GET/READ/QUERY data: Use a DataRaptor Extract.

To CREATE/UPDATE/UPSERT data: Use a DataRaptor Load.

To REFORMAT/MAP data from one structure to another: Use a DataRaptor Transform.

Since the requirement is clearly to retrieve a filtered list, the correct tool is the DataRaptor Extract.

Explanation

The IT team is concerned about needing custom code or advanced technical skills to build FlexCards. To address this concern, it’s important to emphasize that FlexCards are built using declarative (no-code/low-code) tools in OmniStudio.

The two features that best support this are:

A. The FlexCard Wizard

This provides a guided setup process that helps users quickly generate FlexCards by selecting data sources and basic layouts — no coding required.

D. The FlexCard Designer

This is a drag-and-drop interface for building FlexCards visually. Users can add fields, actions, conditional views, styles, and layouts without writing code.

Why Not the Others?

B. Lightning Web Components used in FlexCards — While FlexCards compile to LWCs behind the scenes, this would increase IT’s concern rather than calm it, since it suggests coding is required (which it isn’t for most use cases).

C. Newport Design System used in FlexCards— This relates to styling consistency, not ease of development. It doesn’t address their concern about technical skill requirements.

Reference

Salesforce Documentation — “FlexCards are built using the declarative FlexCard Designer and Wizard, enabling non-developers to create Lightning Web Components without code.”