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Latest Salesforce Agentforce Specialist Exam Dumps Questions
The dumps for Salesforce Agentforce Specialist exam was last updated on Jun 17,2025 .
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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?
Explanation: 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.
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history. Why should the team use Einstein Copilot as the solution?
Explanation: Einstein Copilot is designed to assist in generating personalized, AI-driven content based on customer data such as behavior, preferences, and purchase history. For the marketing team at Universal Containers, this is the perfect solution to create dynamic and relevant email content. By leveraging Einstein Copilot, they can ensure that each customer receives tailored communications, improving engagement and conversion rates. Option A is correct as Einstein Copilot helps generate real-time, personalized content based on comprehensive data about the customer. Option B refers more to Einstein Analytics or Marketing Cloud Intelligence, and Option C deals with automation, which isn't the primary focus of Einstein Copilot. Reference: Salesforce Einstein Copilot Overview: https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.htm
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?
Explanation: Context of the Question Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow. “Flex Prompt Templates” allow admins and AI Specialists to incorporate external or dynamic data into generative AI prompts. Why “Add Flow Instructions” Is Needed Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically “Flow Instructions,” which map the Flow outputs to the prompt. Other Options: Add Flex Instructions: Typically controls how the AI responds or structures the output, not how to bring Flow data into the template. Add Prompt Instructions: Usually for static or manual instructions that shape the AI’s response, rather than referencing dynamic data from the Flow. Outcome “Add Flow Instructions” ensures the prompt can dynamically use the data that the Flow returns― making Option C correct. Salesforce AI Specialist Reference & Documents Salesforce Help & Training: Using Prompt Templates with Flow Explains how to pass Flow variables into a prompt template via a specialized step (e.g., “Flow Instructions”). Salesforce AI Specialist Study Guide Outlines how to configure generative AI prompts that reference real-time Flow data.
A Salesforce AI Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should the AI Specialist do to ensure the prompt template's effectiveness?
Explanation: To address the ineffectiveness of a prompt template reported by a customer, the Salesforce AI Specialist should use the Prompt Builder Scorecard (Option B). This tool is explicitly designed to evaluate and monitor prompt templates against key criteria such as relevance, accuracy, safety, and grounding. By leveraging the scorecard, the specialist can systematically identify weaknesses in the template and make data-driven refinements. While monitoring and refining based on user feedback (Option A) is a general best practice, the Prompt Builder Scorecard is Salesforce’s recommended tool for structured evaluation, aligning with documented processes for maintaining prompt effectiveness. Changing the grounding object (Option C) without proper evaluation is reactive and does not address the root cause. Reference: Salesforce Einstein AI Specialist Certification Guide: Emphasizes using the Prompt Builder Scorecard to evaluate prompts and iterate based on results. Trailhead Module: "Einstein for Developers" highlights the scorecard as a critical tool for assessing prompt performance. Salesforce Help Documentation: Details the Scorecard’s role in evaluating prompts against predefined criteria.
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
Explanation: In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects. Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts. For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
Exam Code: Salesforce Agentforce Specialist Q & A: 202 Q&As Updated: Jun 17,2025
