Salesforce Agentforce-Specialist Exam Dumps

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Number Of Questions: 187

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Exam Details

Exam Name:

Salesforce Certified Agentforce Specialist

Exam Code:

Agentforce-Specialist

Total Questions in Exam:

187

Demo Questions

Q1. Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM). What is an important consideration for this requirement?

A.'CRM data to JSON' checkbox must be selected when creating a prompt template.

B. Apex code can be used to return a JSON formatted merge field.

C. JSON format should be enabled in Prompt Builder Settings.

Answer

Correct Answer: B Context of the Question Universal Containers (UC) wants to send well-formatted JSON data in a prompt to a large language model (LLM). The question is about an important technical or design consideration for including CRM data as JSON in that prompt. Why Apex Code for JSON Formatting? Apex to Generate JSON: Salesforce does not have a simple ”checkbox” or single setting to ”convert CRM data to JSON.” Typically, to structure data as JSON in a template, you either: Use an Apex class that queries or processes the data, then returns a JSON string. Use a Flow or formula approach (though complex data structures often require Apex). No Built-In ”Enable JSON Format in Prompt Builder”: Prompt Builder doesn’t have a toggle that automatically transforms data into JSON. Conclusion The practical solution to pass CRM data in JSON format to an LLM is to use Apex code (or a specialized Flow approach) to produce a JSON string, which the prompt can then merge and pass along. Hence, Option B is correct. Salesforce AI Specialist Reference & Documents Salesforce Documentation: Working with JSON in Apex Describes how to serialize and deserialize data using Apex for integration or AI prompts. Salesforce AI Specialist Study Guide Emphasizes the need for custom logic (often in Apex) when complex data transformations (like JSON formatting) are required.

Q2. Which business requirement presents a good use case for leveraging Einstein Prompt Builder?

A.Forecast future sales trends based on historical data.

B. Identify potential high-value leads for targeted marketing campaigns.

C. Send reply to a request for proposal via a personalized email.

Answer

Correct Answer: C Context of the Question Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models. The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder. Einstein Prompt Builder Typical Use Cases Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field. Why Not Forecast Future Sales Trends or Identify Potential High-Value Leads? (Option A) Forecasting trends typically involves predictive analytics and modeling capabilities found in Einstein Discovery or standard reporting, not generative text solutions. (Option B) Identifying leads for marketing campaigns involves lead scoring or analytics, again an Einstein Discovery or Lead Scoring scenario. Sending a Personalized RFP Email (Option C) is a classic example of using generative AI to compose well-structured, context-aware text. Conclusion Option C (Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder’s generative text functionality. Salesforce AI Specialist Reference & Documents Salesforce Documentation: Einstein Prompt Builder Overview Highlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields. Salesforce AI Specialist Study Guide Explains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).

Q3. Universal Containers plans to enhance its sales team's productivity using Al. Which specific requirement necessitates the use of Prompt Builder?

A.Predicting the likelihood of customers churning or discontinuing their relationship with the company

B. Creating a draft newsletter for an upcoming tradeshow

C. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data

Answer

Correct Answer: B

Q4. Which mechanism within the Einstein Trust Layer helps to ensure that personal data is handled in compliance with data protection regulations like GDPR?

A.Toxicity Scoring

B. Data Masking

C. Prompt Defense

Answer

Correct Answer: B

Q5. What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

A.Identify the best matching topic and actions and correct order of execution

B. Determine a user's topic access and sort actions by priority to be executed

C. Find similar requested topics and provide the actions that need to be executed

Answer

Correct Answer: A

Q6. What is the importance of Action Instructions when creating a custom Agent action?

A.Action Instructions define the expected user experience of an action.

B. Action Instructions tell the user how to call this action in a conversation.

C. Action Instructions tell the large language model (LLM) which action to use

Answer

Answer: A

Q7. What is the importance of Action Instructions when creating a custom Agent action?

A.Action Instructions define the expected user experience of an action.

B. Action Instructions tell the user how to call this action in a conversation.

C. Action Instructions tell the large language model (LLM) which action to use.

Answer

Answer: A

Q8. An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps. 1. Create a new Field Generation prompt template. 2. Choose Case as the object type. 3. Select the custom field AI_Analysis_c as the target field. After creating the prompt template, theAgentforce Specialistsaves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When theAgentforce Specialistwas editing the field, it was behaving as a normal field. Which critical step did theAgentforce Specialistmiss?

A.They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.

B. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.

C. They forgot to edit the Lightning page layout and associate the field to a prompt template

Answer

Answer: C

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