Salesforce Agentforce-Specialist Exam Questions

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.

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).