The Salesforce Certified AI Specialist Exam (Salesforce-AI-Specialist)

Action Builder is the central place in Salesforce Agentforce where you define and manage actions that your AI agents can perform. This includes connecting actions to various tools and systems.

Topics in Agentforce represent the different tasks or intents that an AI agent can handle. By assigning an action to a Topic in Action Builder, you ' re essentially telling the agent, " When you encounter this type of request or situation, perform this action. "

After modifying masked fields in Einstein ' s Trust Layer , the next important step is to test and confirm that the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.

Option B is correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.

Option A (turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.

Option C (turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.

References :

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

Context of the Question

Universal Container (UC) has used prompt templates to update summary fields on record pages.

Now, the admin wants to incorporate similar generative AI functionality within a Flow for automation purposes.

How to Call a Prompt Template Within a Flow

Flow Action : Salesforce provides a standard way to invoke generative AI templates or prompts within a Flow step. From the Flow Builder, you can add an “Action” that references the prompt template you created in Prompt Builder.

Other Options :

Invocable Apex : Possible fallback if there’s no out-of-the-box Flow Action available. However, Salesforce is releasing native Flow integration for AI prompts, making custom Apex less necessary.

Einstein for Flow : A broad label for Salesforce’s generative AI features within Flow. Under the hood, you typically use a “Flow Action” that points to your prompt.

Conclusion

The easiest out-of-the-box solution is to use a Flow Action referencing the prompt template. Hence, Option B is correct.

Salesforce AI Specialist References & Documents

Salesforce Trailhead: Use Prompt Templates in Flow Demonstrates how to add an Action in Flow that calls a prompt template.

Salesforce Documentation: Einstein GPT for Flow Explains standard flow actions to invoke and handle generative AI responses.

Context of the Question Universal Containers (UC) uses Agentforce, a specialized AI-driven assistant for Salesforce. A user reports that an Agent is unable to delete recent activities.

Why Agentforce Cannot Delete Records

Agentforce’s Standard Actions : Agentforce typically has predefined or “standard” actions like Create, Update, or Summarize records. However, a standard Delete Record action is not part of the default set of Agentforce actions.

Implication : If Agentforce has no built-in delete functionality, it cannot remove activities—even if the user has permission to delete them in the Salesforce UI.

Why Other Options Are Incorrect

Option A – Permission to Delete the User’s Records : Standard Salesforce user permissions do not automatically extend to Agentforce’s capabilities. Even if the user can delete records, that doesn’t grant Agentforce a new action.

Option B – Agentforce Delete Record Action Permission : There is no separate “Delete Record Action permission” for Agentforce to be toggled. The relevant issue is that the standard Delete Record action does not exist within Agentforce out of the box.

Conclusion The core reason for the issue is that Agentforce does not support a standard Delete Record action (Choice C).

Salesforce AI Specialist References & Documents

Salesforce Official Documentation – Agentforce (Note: Agentforce may be a pilot or specialized feature; check pilot release notes or official docs for standard actions.)

Salesforce AI Specialist Study Guide Covers the limitations of certain AI-enabled features regarding record operations.

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.

The " Create Close Plan " feature is designed to help sales reps by providing AI-generated strategies and steps specifically focused on closing deals. This feature leverages AI to analyze the current state of opportunities and generate a plan that outlines the actions, timelines, and key steps required to move deals toward closure. It aligns directly with the sales team’s need to meet quotas by offering actionable insights and structured plans.

Find Similar Deals (Option A) helps sales reps discover opportunities similar to their current deals but doesn’t offer a plan for closing.

Create Account Plan (Option B) focuses on long-term strategies for managing accounts, which might include customer engagement and retention, but doesn’t focus on deal closure.

Salesforce AI Specialist References: For more information on using AI for sales, visit: https://help.salesforce.com/s/articleView?id=sf.einstein_for_sales_overview.htm

To understand multiple real-world user utterances and ensure the correct action is selected before activating a custom copilot action , the recommended tool is Copilot Builder . This tool allows AI Specialists to design and test conversational actions in response to user inputs, helping ensure the copilot can accurately handle different user queries and phrases. Copilot Builder provides the ability to test, refine, and improve actions based on real-world utterances.

Option C is correct as Copilot Builder is designed for configuring and testing conversational actions.

Option A (Model Playground) is used for testing models, not user utterances.

Option B (Einstein Copilot) refers to the conversational interface but isn ' t the right tool for designing and testing actions.

References :

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

When grounding a prompt template with a related list, the AI must be explicitly configured to include the related list’s data. If the  " related list prompt template option " is not enabled , the AI ignores the related list, leading to incomplete or incorrect responses.

Option A : Page layout visibility affects user interface display but does not restrict data access for AI grounding.

Option B : Read-only settings prevent edits but not data retrieval.

Option C : Enabling the related list in the prompt template configuration is mandatory for the AI to use its data.

References:

Salesforce Help:  Prompt Template Grounding Settings

States that " related lists must be enabled in the prompt template’s grounding settings to include their data in AI responses. "

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: https://help.salesforce.com/s/articleView?id=000387601 & type=1

Grounding Data in Prompts: https://developer.salesforce.com/docs/atlas.en-us.salesforce_ai.meta/salesforce_ai/grounding_data_prompts