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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types - Unstructured data processing: chunking, indexing |
| Topic 3: AI Agents | 35% | - Agent User security and permissions - Channel integration: digital experience, email, Slack - Topics and actions configuration - Agent types: Service, Sales, Employee - Agent architecture and reasoning engine - Deterministic controls: filters and variables |
| Topic 4: Development Lifecycle | 15% | - Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Model Context Protocol (MCP) - Agent-to-agent communication |
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NEW QUESTION # 206
An Agentforce turned on Einstein Generative AI in Setup. Now, the Agentforce Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu. What is causing the problem?
Answer: B
Explanation:
In order to access and create custom prompt templates in Prompt Builder, the Agentforce Specialist must have the Prompt Template Manager permission set assigned. Without this permission, they will not be able to access Prompt Builder in the Setup menu, even though Einstein Generative AI is enabled.
NEW QUESTION # 207
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: A
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 # 208
Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
- No data is used for LLM training or product improvements by third-
party LLMs.
- No data is retained outside of UC's Salesforce org.
- The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?
Answer: B
Explanation:
Universal Containers (UC) has concerns about data privacy when using Salesforce's generative AI features, particularly around preventing third-party LLMs from accessing or retaining their data.
The Zero-Data Retention Policy in the Einstein Trust Layer is designed to address these concerns by ensuring that:
No data is used for training or product improvements by third-party LLMs.
No data is retained outside of the customer's Salesforce organization.
The LLM provider cannot access any customer data.
This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
Prompt Defense and Data Masking are also security features, but they do not directly address the concerns related to third-party data access and retention.
NEW QUESTION # 209
Which use case is best supported by Salesforce Agent's capabilities?
Answer: B
Explanation:
Salesforce Agent is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI-powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
NEW QUESTION # 210
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers.
Leadership also wants to keep a human in the loop to be considered in their AI strategy. Which prompt template type should the Agentforce Specialist recommend?
Answer: B
Explanation:
Why is "Field Generation" the correct answer?
In Agentforce, the Field Generation prompt template type is designed to populate dynamic form fields with AI-generated content, such as summaries or descriptions created by a large language model (LLM).
Key Considerations for Using Field Generation in Dynamic Forms:
AI-Powered Summarization in Form Fields
Field Generation templates allow real-time AI-generated summaries based on customer data.
The summary is dynamically populated in the form field for the sales or service representative to review.
Human-in-the-Loop AI Strategy
Since leadership wants a human to be involved, Field Generation ensures the AI-generated content is editable before submission.
This keeps a human-in-the-loop, allowing manual review before finalizing responses.
Works with Salesforce Dynamic Forms
Field Generation templates integrate seamlessly with Salesforce Dynamic Forms, ensuring AI- powered insights are embedded within form layouts.
NEW QUESTION # 211
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