Salesforce Agentforce-Specialist Exam Dumps

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?

AAgentforce does not have the permission to delete the user's records.

BAgentforce Delete Record Action permission is not associated to the user.

CAgentforce does not have a standard Delete Record action.

Question 2

Universal Containers has a new AI project.

What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?

AAfter selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.

BPrompt Builder must be used to assign the fields from the related list as a JSON format.

CThe fields for the related list are based on the default page layout of the Account for the current user.

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.

Salesforce AI Specialist Reference & Documents

Salesforce Official Documentation: Prompt Builder Basics Explains how to reference objects and related lists when building AI prompts.

Salesforce Trailhead: Get Started with Prompt Builder Provides hands-on exercises demonstrating how to pick fields from related objects or lists.

Salesforce AI Specialist Study Guide Outlines best practices for referencing related records and fields in generative AI prompts.

Question 3

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.

Which solution should UC consider?

Afine-tune the Einstein AI model with CBM data.

BBuild Al model with Einstein discovery and deploy to sales users.

CEnable Agentforce and deploy to sales users.
Context of the Questio n: Universal Containers (UC) wants to harness generative AI to boost sales productivity. They are wary of public AI virtual assistants (like generic chatbots) that lack sufficient UC-specific data to generate useful business responses.
Why Fine-Tune an Einstein AI Model with CRM Data?
Company-Specific Relevance: By fine-tuning Einstein AI with UC's CRM data (accounts, opportunities, products, and historical interactions), the model learns the enterprise-specific context. This ensures that the generative outputs are accurate and tailored to UC's sales scenarios.
Security and Compliance: Using Salesforce Einstein within the Salesforce ecosystem keeps data under UC's control, aligning with trust, security, and compliance requirements.
Better Predictions: Einstein AI can produce more relevant insights (e.g., recommended next steps, content suggestions, or AI-generated email responses) when it has been trained on real, high-quality internal data.
Why Not Build an AI Model with Einstein Discovery (Option B)?
Einstein Discovery Use Case: Einstein Discovery is best suited for predictive and prescriptive analytics (e.g., analyzing large data sets for patterns, scoring leads, or predicting churn). While it provides advanced analytics, it is not primarily designed for generative text-based interactions for end-user consumption in a conversational format.
Why Not Enable Agentforce (Option C)?
Agentforce Overview: ''Agentforce'' (sometimes referencing a pilot or non-mainstream name) typically focuses on interactive help or workforce collaboration. It does not inherently solve the problem of large-scale generative AI using internal CRM data. Moreover, you still need a robust generative engine fine-tuned on company data.
Outcome: Fine-tuning the Einstein AI model with UC's CRM data (Answer A) is the most direct, Salesforce-native solution to provide generative AI responses that are aligned with UC's context, driving productivity gains and ensuring data privacy.
Salesforce AI Specialist References & Documents
Salesforce Official: Einstein GPT Overview
Discusses how Einstein GPT can be fine-tuned with specific CRM data to deliver contextually relevant, generative AI responses.
Salesforce Trailhead: Get Started with Salesforce Einstein
Explains the fundamentals of AI within the Salesforce platform, including training and optimizing Einstein models.
Salesforce Documentation: Einstein Discovery
Details how Einstein Discovery is primarily used for advanced analytics and predictions, not direct generative text solutions.
Salesforce AI Specialist Study Guide
Provides the official outline of Einstein AI capabilities, referencing how to configure and fine-tune models for specialized enterprise use cases.

Question 4

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?

ACall Explorer operates independently of Salesforce Knowledge, requiring no prior setup.

BCustom Call Explorer actions need to be built before it can be configured.

CCall Explorer requires the Einstein Conversation Insights permission set to be enabled.

Question 5

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?

AAction Input

BAction Name

CAction Instructions

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