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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Agents | 35% | - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack - Agent User security and permissions - Topics and actions configuration |
| Topic 2: Data Cloud for Agentforce | 20% | - Unstructured data processing: chunking, indexing - Agentforce Data Library types - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid |
| Topic 3: Prompt Engineering | 20% | - Prompt template creation: field generation, flex types - Prompt management and user roles - Prompt Builder usage and use cases - Grounding techniques and best practices |
| Topic 4: Development Lifecycle | 15% | - Deployment: sandbox to production - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios |
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NEW QUESTION # 314
A developer is using the Salesforce CLI to deploy agent components from a sandbox to production. They recently made a change to several topics, instructions, and actions. Which metadata component should the developer include in their package.xml file that contains all of the topics and actions an agent will interact with?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce documents:
The metadata component that contains the complete configuration for an Agentforce Agent, including references to all its topics and actions, is GenAiPlannerBundle (A).
In Salesforce development using the Metadata API or the Salesforce CLI, an Agentforce Agent is represented by a planner metadata type.
In recent Salesforce API versions (v64 and above, as of this knowledge base), the core agent component is the GenAiPlannerBundle. This acts as the container or planner that defines the agent's reasoning engine and bundles together all the necessary references to the Topics (represented by the GenAiPlugin metadata type) and the Actions (represented by the GenAiFunction metadata type) that the agent is allowed to execute. Deploying the GenAiPlannerBundle is essential for deploying a complete, updated Agentforce Agent configuration.
Prior to version 64, the component was named GenAiPlanner, which serves the same conceptual role. Since modern DevOps pipelines strive for the latest capabilities, GenAiPlannerBundle is the most current and accurate answer for a full agent deployment.
NEW QUESTION # 315
Universal Containers wants to keep retrieval accurate as product documentation changes frequently. Which approach should the company implement?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the official AgentForce implementation guidelines and RAG (Retrieval-Augmented Generation) architecture within Salesforce, maintaining retrieval accuracy depends on ensuring that embeddings and indexed content remain synchronized with the most recent data. When product documentation or knowledge base content changes, the underlying text used for vector embeddings must also be updated to reflect the new information.
The AgentForce documentation clearly specifies that when content is modified, the recommended practice is to rebuild the search index. This process regenerates the document chunks, re- embeds them using the latest model, and updates the index used by the retrieval system. This ensures that queries return the most current and relevant responses aligned with the updated content.
NEW QUESTION # 316
A business stakeholder wants to use Al to generate a summary based on Data Cloud data. Which method(s) should the stakeholder use to access Data Cloud data from Prompt Builder?
Answer: C
Explanation:
The Prompt Builder and Data Cloud Integration Guide explains that Data Cloud information can be accessed directly through Data Cloud related lists or prompt-initiated flows, which fetch relevant data dynamically. The documentation states: "Prompt Builder supports retrieving Data Cloud data using related lists for contextual grounding or invoking flows that query Data Cloud objects at runtime. This enables AI prompts to generate summaries, recommendations, or insights directly from unified customer profiles."
NEW QUESTION # 317
Coral Cloud Resorts needs consistent pass/fail logic for agent testing. Which Testing Center capability provides that?
Answer: C
Explanation:
According to the AgentForce Testing Center Guide, structured batch testing is the feature that provides consistent, repeatable pass/fail validation for agent testing. The documentation explains:
"Structured batch testing allows specialists to define expected outputs per test utterance and automatically validate the agent's responses, resulting in deterministic pass/fail outcomes."
NEW QUESTION # 318
An Agentforce Specialist created a Field Generation prompt template. What should the Agentforce Specialist do to expose the template to the user?
Answer: A
Explanation:
The Field Generation prompt template type is specifically designed to enable generative AI within the context of a Salesforce record field. To expose this functionality to an end-user, the Agentforce Specialist must associate the template with the form field on the Lightning page (B).
This is accomplished using the Lightning App Builder:
The Agentforce Specialist first creates a custom field (often a Long Text Area or Rich Text Area) on the desired object to store the AI-generated output.
In the Lightning App Builder for the object's Record Page, the Specialist selects the field component.
In the properties panel for that field component, there is a setting (often a dropdown) to select an active Field Generation Prompt Template.
Once associated, an Einstein icon (or "Generate" button) appears next to the field on the record page, allowing the user to click it to run the prompt, review the AI-generated content, and then decide to use it to populate the field.
NEW QUESTION # 319
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