Selecting the Updated Salesforce Agentforce Specialist Dumps (V13.02) for Exam Preparation: Check Our Salesforce Agentforce Specialist Free Dumps (Part 1, Q1-Q40) First

Passing the Salesforce Agentforce Specialist certification exam can often be daunting, with a wide array of exam outlines and a limited time for study. But focus on DumpsBase, we have updated the Salesforce Agentforce Specialist dumps to V13.02, ensuring you have the reliable study materials to make preparations. We have collected 300 questions and answers in V13.02, designed to align with the most current exam objectives. In addition to straightforward question-and-answer formats, these dumps often include detailed explanations that can shed light on why certain answers are correct. You can trust that the updated Salesforce Agentforce Specialist exam dumps help you build a stronger foundational knowledge, ensuring that when the exam day arrives, you’re not just memorizing answers but truly understanding the concepts. To check the quality of V13.02, we have free dumps online for reading.

Below are our Salesforce Agentforce Specialist free dumps (Part 1, Q1-Q40) of V13.02 for reading:

1. What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?

2. Universal Containers needs its sales reps to be able to only execute prompt templates.

What should the company use to achieve this requirement?

3. Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.

Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

4. Where should the Agentforce Specialist go to add/update actions assigned to a copilot?

5. When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?

6. What is true of Agentforce Testing Center?

7. Universal Containers has implemented an agent that answers questions based on Knowledge articles.

Which topic and Agent Action will be shown in the Agent Builder?

8. An Agentforce wants to ground a new prompt template with the User related list.

What should the Agentforce Specialist consider?

9. Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.

No data is used for LLM training or product improvements by third- party LLMs.

No data is retained outside of UC's Salesforce org.

The data sent cannot be accessed by the LLM provider.

Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?

10. An Agentforce wants to include data from the response of external service invocation (REST API callout) into the prompt template.

How should the Agentforce Specialist meet this requirement?

11. For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?

12. Universal Containers (UC) wants to limit an agent’s access to Knowledge articles while deploying the "Answer Questions with Knowledge" action.

How should UC achieve this?

13. Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the "Save As" function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters.

What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?

14. Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.

Which features should the Agentforce Specialist recommend?

15. Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles. When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly.

What should UC do to troubleshoot the issue?

16. Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base.

Which AI capability should UC use?

17. Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC’s sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency.

Which Salesforce feature should the company use to address these concerns?

18. A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries.

Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy.

Which feature in Einstein for Service should the support team use?

19. What is the correct process to leverage Prompt Builder in a Salesforce org?

20. Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach.

Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

21. Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality.

What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?

22. Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AlI-enabled field icon next to the summary field.

What is the most likely cause of the issue?

23. What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

24. Universal Containers (UC) has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses.

Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?

25. Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient’s contact record.

What is the most likely explanation for why the draft email shows these placeholders?

26. Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number. Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details.

Which solution should an Agentforce Specialist implement to meet this requirement?

27. An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.

How should the Agentforce Specialist integrate the custom LLM into Salesforce?

28. Universal Containers (UC) wants to implement an AI-powered customer service agent that can:

Retrieve proprietary policy documents that are stored as PDFs.

Ensure responses are grounded in approved company data, not generic LLM knowledge.

What should UC do first?

29. Universal Containers (UC) wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template.

How should UC accomplish this?

30. A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder.

Which permission sets should an Agentforce Specialist assign to the data scientist?

31. Universal Containers’ current AI data masking rules do not align with organizational privacy and security policies and requirements.

What should An Agentforce recommend to resolve the issue?

32. Which scenario best demonstrates when an Agentforce Data Library is most useful for improving an AI agent’s response accuracy?

33. An Agentforce turned on Einstein Generative AI in Setup. Now, the Agentforce Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder

in the Setup menu.

What is causing the problem?

34. A customer service representative is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related to this Itinerary. The representative needs to review the Knowledge articles about canceling and rebooking the customer flights.

Which Agentforce capability helps the representative accomplish this?

35. An Agentforce Specialist is creating a custom action in Agentforce.

Which option is available for the Agentforce Specialist to choose for the custom Agent action?

36. Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.

After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

37. Universal Containers (UC) wants to enable its sales team to get insights into product and competitor

names mentioned during calls.

How should UC meet this requirement?

38. Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding.

Which objects should UC select to configure Service AI Grounding?

39. How does an Agent respond when it can’t understand the request or find any requested information?

40. When creating a custom retriever in Einstein Studio, which step is considered essential?


 

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