Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?
Answer : C
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 Reference & 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.
What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?
Answer : A
Context of the Question
Universal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
Prompt Builder Behavior
Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.
Why Option A is Correct
Direct Alignment with the Standard Process: The recommended approach in Salesforce's documentation is to select a related list and then use the field picker to add the necessary fields into your AI prompt. This ensures the prompt has exactly the data you need from that related list.
Why Not Option B (JSON Formatting)
No Mandatory JSON Requirement: Although you can structure data as JSON if you desire advanced formatting, Prompt Builder does not require you to manually assign the fields from the related list in JSON. The platform automatically handles how the data is passed along in the background.
Why Not Option C (Default Page Layout)
Independent of Page Layout: Prompt Builder does not rely strictly on the default page layout for fields. You can configure the fields you want from the related list, independent of how the user's page layout is set up in the UI.
Conclusion
Since the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields, Option A is the correct and verified answer.
Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequate company data to general useful responses.
Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team.
What should the AI Specialist be aware of before enabling this feature?
Answer : C
Before enablingCall Explorer, the Salesforce AI Specialist must ensure that theEinstein Conversation Insights permission setis assigned to users (Option C). Call Explorer is a feature within Einstein Conversation Insights (ECI) that analyzes meeting recordings to surface trends, keywords, and actionable insights.
Key Considerations:
Permission Set Requirement:
Users (including admins) need theEinstein Conversation Insightspermission set to access and use Call Explorer. Without this, the feature remains inaccessible.
The permission set grants access to ECI tools, including call transcription, analysis, and dashboard visibility.
Why Other Options Are Incorrect:
A . Independence from Salesforce Knowledge: While Call Explorer does not rely on Salesforce Knowledge, this is irrelevant to the setup prerequisite. The critical dependency is the permission set, not Knowledge configuration.
B . Custom Actions: Call Explorer does not require custom actions to be built before configuration. It is a pre-built analytics tool that works once permissions and data sources (e.g., call recordings) are configured.
Salesforce Einstein Conversation Insights Guide: Explicitly states that the Einstein Conversation Insights permission set is required to access Call Explorer.
An Al Specialist is creating a custom action for Agentforce.
Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?
Answer : C
To ensure a custom action in Agentforce performs as expected, the AI Specialist must focus onAction Instructions. Here's why:
Action Instructionsdefine the logic, parameters, and steps the AI should follow to execute the action. They include:
How input data is processed.
API calls or Apex invocations.
Conditional logic (e.g., decision trees).
Testing and iterating on these instructions ensures alignment with the intended workflow. For example, incorrect API endpoint references or misconfigured parameters in the instructions will cause failures.
Action Input(Option A) refers to the data provided to the action. While validating input formats is important, inputs are static once defined. The primary issue lies in whether the instructions correctlyusethe inputs.
Action Name(Option B) is a descriptive label and does not affect functionality.
By iterating onAction Instructions, the AI Specialist ensures the action's logic, integrations, and error handling are robust.
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