Salesforce Updated Salesforce-AI-Specialist Exam Questions and Answers by inaya

When previewing aprompt templatein Salesforce, theResolutiontext provides theresponse from the LLM(Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.

Option Bis correct becauseResolutiondisplays the actual response generated by the LLM.

Option Arefers to sending the text to theTrust Layer, but that’s not whatResolutionrepresents.

Option Crelates to data masking, which is shown elsewhere, not underResolution.

References:

Salesforce Prompt Builder Overview:https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm

When the"Enrich event logs with conversation data"setting is enabled inEinstein Copilot, it allows an AI Specialist or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.

This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.

Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.

Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.

Salesforce AI Specialist References:You can refer to this documentation for further insights:https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm

In this scenario,Universal Containerswants to bring data fromunified Data Cloud objectsinto prompt templates, and the best way to do that is through aData Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.

Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.

For more detailed guidance, refer to Salesforce documentation onData Cloud-triggered flowsandData Cloud integrationswith generative AI solutions.

To use the Record Snapshots grounding feature in a prompt template, you must create a field set that includes all fields required for grounding. Field sets define which fields from an object are accessible to the AI model, ensuring the prompt template has structured data to generate contextually accurate responses. Salesforce documentation emphasizes that grounding relies on explicitly defined field sets to avoid exposing unintended data and to comply with security policies.

Page Layout configuration (A) controls UI organization but does not directly enable grounding.

Dynamic Forms (C) customize record pages dynamically but are unrelated to data grounding for prompts.