Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) inaprompt template.
What should the AI Specialist recommend?
Correct Answer:
A
Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using aFlex template.
Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.
References:
✑ Salesforce AI Specialist Documentation - Flex Templates:Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users findthat the draft email containsplaceholders for attributes that could have been derived from the recipient's contact record.
What is the most likely explanation for why the draft email shows these placeholders?
Correct Answer:
B
When usingEinstein Generative AIto create personalized emails, if placeholders appear in the draft email where data from a recipient'sContactrecord should be, the most likely reason is that theuser lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values.
✑ Option Bis correct because missing field permissions will cause placeholders in
email drafts.
✑ Option A(missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders.
✑ Option C(locale language issues) would more likely affect language-specific issues, not field placeholders.
References:
✑ Salesforce Email Template and Permissions Documentation:https://help.salesforce.com/s/articleView?id=sf.email_templates_fie ld_permissions.htm
An AI Specialist at Universal Containers is working on a prompt template to generate personalized emails for product demonstrationrequests from customers. It is important for the Al-generated email to adhere strictly to the guidelines, using only associated opportunityinformation, and to encourage the recipient to take the desired action.
How should the AI Specialist include these instructions on a new line in the prompt template?
Correct Answer:
A
In Salesforce prompt templates, instructions that guide how the Large Language Model (LLM) should generate content (in this case, personalized emails) can be included by surrounding the instruction text withtriple quotes ("""). This formatting ensures that the LLM adheres to the specific instructions while generating the email content.
The use oftriple quotesallows the AI to understand that the enclosed text is a directive for how to approach the task, such as limiting the content to associated opportunity information or encouraging a specific action from the recipient.
Refer toSalesforce Prompt Builder documentationfor detailed instructions on how to structure prompts for generative AI.
An AI Specialist configured Data Masking within the Einstein Trust Layer.
How should the AI Specialist begin validating that the correct fields are being masked?
Correct Answer:
B
To begin validating that the correct fields are being masked inEinstein Trust Layer, the AI Specialist should request theEinstein Generative AI Audit Datafrom the Security 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
What should an AI Specialist consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?
Correct Answer:
A
When using related list merge fields in a prompt template associated with the Account object inPrompt Builder, theActivities related listis not supported due to it being apolymorphic field. Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.
✑ Option Bis incorrect because person accounts do not limit the availability of merge
fields for the Account object.
✑ Option Cis irrelevant since even if no related lists are available at runtime, the prompt can still generate based on other available data fields.
For more information, refer toSalesforce documentationon supported fields and limitations inPrompt Builder.