Agentforce-Specialist Dumps with Practice Exam Questions Answers

To improve the productivity of the service center, the Agentforce Specialist should recommend the Service Replies and Case Summaries features.

Service Replies helps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.

Case Summaries provide a quick overview of case details, allowing agents to get up to speed faster on customer issues.

Work Summaries are not as relevant for direct customer service operations, and Sales Summaries are focused on sales processes, not service center productivity.

For more information, see Salesforce's Einstein Service Cloud documentation on the use of generative AI to assist customer service teams.

For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.

Option B is the correct choice as predicting customer lifetime value is a well-established use case for AI in sales.

Option A (customer sentiment) is typically handled through NLP models, while Option C (product popularity) is more of a marketing analysis use case.

When refining Agent custom action instructions, it is considered best practice to provide examples of user messages that are expected to trigger the action. This helps ensure that the custom action understands a variety of user inputs and can effectively respond to the intent behind the messages.

Option B (consistent phrases) can improve clarity but does not directly refine the triggering logic.

Option C (specifying a persona) is not as crucial as giving examples that illustrate how users will interact with the custom action.

For more details, refer to Salesforce's Agent documentation on building and refining custom actions.

Context of the Question

Universal Containers (UC) has generative AI–enabled fields that users can access in the desktop experience.

The Agentforce Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.

Why Dynamic Forms on Mobile?

Dynamic Forms allow you to configure record pages so that fields and sections can appear or be hidden based on certain criteria.

When you enable “Dynamic Forms for Mobile,” any generative AI–enabled fields placed on the dynamic layout become accessible in the Salesforce mobile experience.

There is no standard Setup option labeled “Enable Mobile Generative AI” or “Enable Mobile Prompt Responses” as a universal toggle; the existing official approach is to ensure dynamic forms (and the relevant fields) are supported on mobile.

Conclusion

Ensuring that these AI-driven fields are visible on mobile is accomplished by turning on Dynamic Forms on Mobile and adding those fields to the dynamic layout. Therefore, Option C is correct.

Salesforce Agentforce Specialist References & Documents

Salesforce Documentation: Dynamic Forms OverviewExplains how to enable Dynamic Forms for both desktop and mobile UIs, allowing newly added fields (including generative AI–enabled ones) to display in the Salesforce Mobile App.

Salesforce Agentforce Specialist Study GuideReiterates that to expose generative AI fields or components in mobile, you must configure dynamic forms and ensure compatibility on mobile layouts.

Comprehensive and Detailed In-Depth Explanation:

The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance. Let’s evaluate the statements.

Option A: Running tests risks modifying CRM data in a production environment.Agentforce Testing Center runs synthetic interactions in a controlled environment (e.g., sandbox or isolated test space) and doesn’t modify live CRM data. It’s designed for safe pre-deployment testing, making this incorrect.

Option B: Running tests does not consume Einstein Requests.Einstein Requests are part of the usage quota for Einstein Generative AI features (e.g., prompt executions in production). Testing Center uses synthetic data to simulate interactions without invoking live AI calls that count against this quota. Salesforce documentation confirms tests don’t consume requests, making this the correct answer.

Option C: Agentforce Testing Center can only be used in a production environment.Testing Center is available in both sandbox and production orgs, but it’s primarily used pre-deployment (e.g., in sandboxes) to validate agents safely. This restriction is false, making it incorrect.

Why Option B is Correct:

Not consuming Einstein Requests is a key feature of Testing Center, allowing extensive testing without impacting quotas, as per Salesforce documentation.