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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud for Agentforce | 20% | - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Agentforce Data Library types |
| Topic 2: Prompt Engineering | 20% | - Prompt management and user roles - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases - Grounding techniques and best practices |
| Topic 3: Development Lifecycle | 15% | - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization - Deployment: sandbox to production |
| Topic 4: AI Agents | 35% | - Agent architecture and reasoning engine - Agent User security and permissions - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Topics and actions configuration - Channel integration: digital experience, email, Slack |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios |
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NEW QUESTION # 54
Universal Containers is very concerned about security compliance and wants to understand:
- Which prompt text is sent to the large language model (LLM)
- How it is masked
- The masked response
What should the Agentforce Specialist recommend?
Answer: B
Explanation:
To address security compliance concerns and provide visibility into the prompt text sent to the LLM, how it is masked, and the masked response, the Agentforce Specialist should recommend enabling the audit trail in the Einstein Trust Layer. This feature captures and logs the prompts sent to the large language model (LLM) along with the masking of sensitive information and the AI's response. This audit trail ensures full transparency and compliance with security requirements.
NEW QUESTION # 55
What is one key purpose of action instructions when creating a custom agent action in Agentforce?
Answer: A
Explanation:
According to the AgentForce Action Design and Configuration Guide, action instructions serve as the directive text that informs the Reasoning Engine about when and how to invoke a specific action. The documentation states: "Action instructions guide the reasoning engine by describing the action's purpose, inputs, and when it should be selected. Clear, concise instructions improve the LLM's accuracy in mapping user intent to the correct action."
NEW QUESTION # 56
Universal Containers has created an Employee Agent. Which step should an Agentforce Specialist take to connect the agent with a Slack channel?
Answer: B
Explanation:
According to the AgentForce for Slack Integration Guide, to connect an Employee Agent (or any internal AgentForce agent) with a Slack channel, the required setup step is to create a connection between Salesforce and the Slack workspace. The documentation specifies: "Before deploying an Employee Agent into Slack, you must establish a secure connection between your Salesforce org and the Slack workspace. This connection enables authentication, permission mapping, and message exchange between the Agent and Slack users." Once the connection is established, the administrator can configure the specific Slack channel where the agent will operate.
NEW QUESTION # 57
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?
Answer: C
Explanation:
Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
"Flex Prompt Templates" allow admins and Agentforce 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.
NEW QUESTION # 58
Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base. Which AI capability should UC use?
Answer: B
Explanation:
For Universal Containers (UC) to offer personalized service experiences and reduce agent handling time using AI-generated responses grounded in the Knowledge base, the best solution is Einstein Service Replies for Email. This capability leverages AI to automatically generate responses to service- related emails based on historical data and the Knowledge base, ensuring accuracy and relevance while saving time for service agents.
NEW QUESTION # 59
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