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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Reasoning Engine & AI Actions | - Workflow mastery
| |
| Topic 2: Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Topic 3: Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
| Topic 4: Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
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NEW QUESTION # 279
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
Answer: A
Explanation:
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
NEW QUESTION # 280
Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page. After provisioning Data Cloud, which step must an Al Specialist take to make this option available to NTO?
Answer: C
Explanation:
For Northern Trail Outfitters (NTO) to configure the Einstein Trust Layer, the Einstein Generative AI feature must be enabled. The Einstein Trust Layer is closely tied to generative AI capabilities, ensuring that AI-generated content complies with data privacy, security, and trust standards.
NEW QUESTION # 281
How does an Agent respond when it can't understand the request or find any requested information?
Answer: C
Explanation:
Agentforce Agents are designed to handle situations where they cannot interpret a request or retrieve requested data gracefully.
NEW QUESTION # 282
When is the Agent-to-Agent (A2A4) protocol an appropriate communication choice?
Answer: C
Explanation:
The Agent-to-Agent (A2A) protocol in AgentForce is specifically designed to facilitate collaboration and coordination between multiple agents. It allows distinct agents - such as Service, Sales, or Employee Agents - to exchange structured messages, delegate tasks, and share context securely within the Salesforce ecosystem.
AgentForce documentation describes A2A as a collaborative communication framework, enabling agents to "handoff, request, and respond" to each other in complex workflows. This is useful when different agents specialize in separate domains (e.g., one handles billing inquiries, another manages account upgrades).
NEW QUESTION # 283
What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?
Answer: B
Explanation:
UC is deploying an Agentforce Service Agent with multiple topics and actions to production.
NEW QUESTION # 284
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