AI Associate Salesforce-AI-Specialist Updated Exam

In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by using merge fields.

Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, the AI Specialist needs to pull data from the default related list of Opportunities associated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.

Option A (referencing a custom related list) and Option C (using formula fields with Einstein-related lists) do not align with the standard, practical grounding method for this task. Custom lists would require additional configurations not typically necessary for a basic use case, and formula fields are typically not used to directly fetch related list data for prompt generation in templates. The standard and straightforward method is using merge fields tied to the default related list of opportunities.

Salesforce References:

Merge Fields in Templates: &type=1

Grounding Data in Prompts:

When creating a custom prompt template to populate a field with generated output, the most appropriate template type is Field Generation. This template is specifically designed for generating field-specific outputs using generative AI.

Additionally, the AI Specialist must ensure that Dynamic Fields are enabled. Dynamic Fields allow the system to use real-time data inputs from related records or fields when generating content, ensuring that the AI output is contextually accurate and relevant. This is crucial when populating specific fields with AI-generated content, as it ensures the data source remains dynamic and up-to-date.

The Einstein Trust Layer will track and audit the interactions to ensure the organization can monitor AI adoption and make necessary enhancements based on AI usage patterns.

For further reading, refer to Salesforce’s guidelines on Field Generation templates and the Einstein Trust Layer.

To customize the case summary response from Einstein Copilot, the AI Specialist should create a custom Record Summary prompt template for the Case object. This allows Universal Containers to tailor the way case data is summarized, ensuring the output aligns with specific business requirements or user preferences.

Option A (customizing the standard Record Summary template) does not provide the flexibility required for deep customization.

Option B (standard Copilot action) won’t allow customization; it will only use default settings.

Refer to Salesforce Prompt Builder documentation for guidance on creating custom templates for record summaries.

To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.

Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.

Call Explorer is a tool for navigating through call data but does not focus on automatic insights.

For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.