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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios |
| Topic 2: Development Lifecycle | 15% | - Version control and maintenance - Deployment: sandbox to production - Monitoring, adoption and optimization - Testing agents in Testing Center |
| Topic 3: AI Agents | 35% | - Channel integration: digital experience, email, Slack - Agent User security and permissions - Agent architecture and reasoning engine - Agent types: Service, Sales, Employee - Topics and actions configuration - Deterministic controls: filters and variables |
| Topic 4: Prompt Engineering | 20% | - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases - Prompt management and user roles |
| Topic 5: 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 |
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NEW QUESTION # 51
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: A
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 # 52
Why is starting with a narrowly scoped Agentforce use case considered a best practice?
Answer: A
Explanation:
A narrow scope limits unintended behavior and makes monitoring, tuning, and governance easier.
NEW QUESTION # 53
Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should An Agentforce recommend?
Answer: C
Explanation:
Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem. Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.
NEW QUESTION # 54
A customer service representative is looking at a custom object that stores travel information.
They recently received a weather alert and now need to cancel flights for the customers that are related to this Itinerary. The representative needs to review the Knowledge articles about canceling and rebooking the customer flights. Which Agentforce capability helps the representative accomplish this?
Answer: A
Explanation:
The scenario involves a customer service representative needing to cancel flights due to a weather alert and review existing Knowledge articles for guidance on canceling and rebooking.
Agentforce provides capabilities to streamline such tasks. The most suitable option is Option B, which allows the agent to "execute tasks based on available actions" (e.g., canceling flights via a predefined action) while "answering questions using information from accessible Knowledge articles." This capability leverages Agentforce's ability to integrate Knowledge articles into the agent's responses, enabling the representative to ask questions (e.g., "How do I cancel a flight?") and receive AI-generated answers grounded in approved Knowledge content. Simultaneously, the agent can trigger actions (e.g., a Flow to update the custom object) to perform the cancellations, meeting all requirements efficiently.
NEW QUESTION # 55
Universal Containers wants to systematically validate agent responses before deployment using a scalable testing process. Which Testing Center approach should the company implement?
Answer: B
Explanation:
Per the AgentForce Testing Center Operations Guide, the batch testing feature allows organizations to upload structured CSV test templates containing real-world user utterances, expected classifications, and desired outcomes. Once uploaded, these test cases are executed in bulk within the Testing Center to validate agent accuracy, reasoning consistency, and grounding before activation.
This structured approach supports repeatable, scalable testing and ensures objective evaluation across multiple topics and scenarios.
NEW QUESTION # 56
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