Salesforce Salesforce-AI-Specialist Dumps Questions Answers

WhenUniversal Containerscreates a new Sales Email prompt template using the"Save As"function, missing hyperparameters can result in different outputs. To ensure the new prompt produces comparable results to the standard Sales Email prompt, the AI Specialist shouldmanually add the necessary hyperparametersto the new template.

Hyperparameters likeTemperature,Frequency Penalty, andPresence Penaltydirectly affect how the AI generates responses. Ensuring that these are consistent with the standard template will result in similar outputs.

Option A (Model Playground)is not necessary here, as it focuses on fine-tuning models, not adjusting templates directly.

Option C (Reverting to the standard template)does not solve the issue of customizing the prompt template.

For more information, refer toPrompt Builder documentationon configuring hyperparameters in custom templates.

To implement a solution where users enter a sales order number and the system generates a summary, the AI Specialist should create ascreen flowto collect the sales order number and invoke the prompt template. The standard"Prompt Template" flow actioncan then be used to trigger the custom prompt, providing a summary of the sales order header and details.

Option B, creating a template-triggered prompt flow, is not necessary for this scenario because the requirement is to directly collect input through a screen flow.

Option C, using an autolaunched flow, would be inappropriate here because the solution requires user interaction (entering a sales order number), which is best suited to a screen flow.

Salesforce AI Specialist References:For further guidance on creating prompt templates with flows:https://help.salesforce.com/s/articleView?id=sf.prompt_template_flow_integration.htm

To begin validating that the correct fields are being masked inEinstein Trust Layer, the AI Specialist should request theEinstein Generative AI Audit Datafrom theSecurity sectionof the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.

Option Bis correct because it allows for the retrieval of audit data that can be used to validate data masking.

Option A(Flow Debugger) andOption C(Einstein Feedback) do not relate to validating field masking in the context of theEinstein Trust Layer.

References:

Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm