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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud for Agentforce | 20% | - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Agentforce Data Library types |
| Topic 2: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP) |
| Topic 3: Prompt Engineering | 20% | - Prompt management and user roles - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types |
| Topic 4: Development Lifecycle | 15% | - Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization |
| Topic 5: AI Agents | 35% | - Agent User security and permissions - Topics and actions configuration - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack |
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NEW QUESTION # 82
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?
Answer: B
Explanation:
Secure Data Retrieval enforces Salesforce's security model by dynamically grounding data access in the permissions of the user executing the prompt. This ensures compliance with CRUD (Create, Read, Update, Delete) and FLS (Field-Level Security) settings, preventing unauthorized access to sensitive data. For example, if a user lacks access to a specific object or field, the AI model cannot retrieve it for dynamic grounding.
NEW QUESTION # 83
Universal Containers needs its sales reps to be able to only execute prompt templates. What should the company use to achieve this requirement?
Answer: B
Explanation:
Salesforce Agentforce leverages Prompt Builder, a powerful tool that allows administrators to create and manage prompt templates, which are reusable frameworks for generating AI-driven responses. These templates can be invoked by users to perform specific tasks, such as generating sales emails or summarizing records, based on predefined instructions and grounded data. In this scenario, Universal Containers wants its sales reps to have the ability to only execute these prompt templates, meaning they should be able to run them but not create, edit, or manage them.
NEW QUESTION # 84
Universal Containers (UC) needs to create a custom prompt template that can be called from a Lightning web component. Which prompt template type should UC create?
Answer: A
Explanation:
The AgentForce Developer Integration Guide specifies that Flex prompt templates are the correct type for custom or embedded integrations, such as invoking a prompt from a Lightning Web Component (LWC).
Flex templates are designed for general-purpose use cases and can be called programmatically via Apex, Flow, or LWC APIs. They offer flexible input and output structures, allowing developers to integrate AgentForce reasoning into custom applications and UI components.
NEW QUESTION # 85
How does the AI Retriever function within Data Cloud?
Answer: C
Explanation:
The AI Retriever is a key component in Salesforce Data Cloud, designed to support AI-driven processes like Agentforce by retrieving relevant data. Let's evaluate each option based on its documented functionality.
NEW QUESTION # 86
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the Agentforce Specialist recommend?
Answer: B
Explanation:
To improve the productivity of the service center, the Agentforce Specialist should recommend the Service Replies and Case Summaries features.
Service Replies helps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
Case Summaries provide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
Work Summaries are not as relevant for direct customer service operations, and Sales Summaries are focused on sales processes, not service center productivity.
NEW QUESTION # 87
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