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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Development Lifecycle | 15% | - Monitoring, adoption and optimization - Deployment: sandbox to production - Testing agents in Testing Center - Version control and maintenance |
| Topic 2: AI Agents | 35% | - Agent User security and permissions - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Channel integration: digital experience, email, Slack - Agent architecture and reasoning engine - Topics and actions configuration |
| Topic 3: Prompt Engineering | 20% | - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt management and user roles |
| Topic 4: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Unstructured data processing: chunking, indexing - Improving response accuracy with data grounding |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios |
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NEW QUESTION # 91
Universal Containers needs to restrict access to refund processing actions so only customers with Active account status can initiate refunds. How should an Agentforce Specialist apply the restriction deterministically?
Answer: A
Explanation:
According to the AgentForce Action Orchestration and Control Logic Guide, deterministic restrictions on action execution should be implemented using context variables and conditional filters.
By creating a context variable (e.g., AccountStatus) that pulls the customer's current status and applying a conditional filter that limits execution to cases where AccountStatus = "Active", the refund action can be programmatically restricted. This ensures the agent can only trigger the refund flow when conditions are met, providing both consistency and governance over sensitive actions.
NEW QUESTION # 92
What is true of Agentforce Testing Center?
Answer: C
Explanation:
The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance.
NEW QUESTION # 93
Before activating a custom agent action, an AgentForce Specialist would like to evaluate multiple real-world user utterances to ensure the action is being selected appropriately. Which tool should the AgentForce Specialist recommend?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
The AgentForce Testing Center is the recommended tool for validating and refining agent behavior before activation. According to the AgentForce Quality Assurance and Testing Framework, the Testing Center enables specialists to simulate and analyze how the reasoning engine classifies user utterances, selects topics, and triggers actions across multiple test cases.
This testing environment provides detailed diagnostics, showing classification confidence, prompt resolution paths, and grounding behavior. It allows for adjustments before production deployment to ensure accuracy and relevance in real-world scenarios.
NEW QUESTION # 94
Universal Containers (UC) stores case details and updates in several custom fields and custom objects related to the case. UC would like its Agentforce Service Agent to be able to provide information in these fields and related records as part of an answer back to its customers when the customer is asking for updates. Which best practice should UC follow to grant access to this information for the Agentforce Service Agent?
Answer: B
Explanation:
Per the AgentForce Security and Permission Management Guide, the
AgentForceServiceAgentUserPsg (Permission Set Group) controls access privileges for Service Agents, including which Salesforce objects, fields, and related data they can read or interact with.
When extending an agent's access to additional custom fields or related objects, the documented best practice is to update the existing permission set group assigned to that agent type rather than creating new or profile-based permissions. This approach maintains centralized permission governance, ensures license alignment, and avoids conflicts or redundancy across multiple permission layers.
NEW QUESTION # 95
A Salesforce Agentforce Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should the Agentforce Specialist do to ensure the prompt template's effectiveness?
Answer: B
Explanation:
To address the ineffectiveness of a prompt template reported by a customer, the Salesforce Agentforce 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.
NEW QUESTION # 96
......
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