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Universal Containers (UC) implements a custom retriever to improve the accuracy of AI- generated responses. UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?
A. Define filters to narrow the search results based on specific conditions.
B. Increase the maximum number of results returned to capture a broader dataset.
C. Change the search index to a different data model object (DMO).
Answer: A
Explanation:
In Salesforce Agentforce, a custom retriever is used to fetch relevant data (e.g., from Data Cloud's vector database or Salesforce records) to ground AI responses. UC's issue is that their retriever returns too many irrelevant results, reducing response accuracy. The best solution is to define filters (Option A) to refine the retriever's search criteria. Filters allow UC to specify conditions (e.g., "only retrieve documents from the `Policy' category" or "records created after a certain date") that narrow the dataset, ensuring the retriever returns only relevant results. This directly improves the precision of AI-generated responses by excluding extraneous data, addressing UC's problem effectively.
NEW QUESTION # 295
An Agentforce agent is designed to recommend next steps but NOT execute them automatically.
What is this an example of?
A. Read-only agent
B. Advisory (copilot-style) agent
C. Background system agent
D. Fully autonomous agent
Answer: B
Explanation:
Advisory agents recommend actions while leaving execution to humans.
NEW QUESTION # 296
Universal Containers would like to route a service agent conversation to a human agent queue.
Which tool connects the service agent to the human agent queue for escalation?
A. Outbound Omni-Channel Flow
B. Prompt Flow
C. Screen Flow
Answer: A
Explanation:
Why is Outbound Omni-Channel Flow the Correct Answer?
In Agentforce, when a service agent's conversation needs to be escalated to a human agent queue, Outbound Omni-Channel Flow is the appropriate tool to facilitate this process.
Key Features of Outbound Omni-Channel Flow in Agentforce:
Automates Escalation to a Human Agent Queue
It ensures that service requests are dynamically routed to the most appropriate human agent, based on availability, skills, and predefined business logic.
Seamless Transition from AI to Human Agents
When Einstein Copilot or another AI-powered assistant identifies a case that requires human intervention, Omni-Channel Flow automatically routes the conversation.
Ensures Proper Prioritization & Load Balancing
By leveraging Omni-Channel routing rules, the system assigns conversations efficiently, avoiding delays in customer service.
Integration with Agentforce and Service Cloud
Works directly with Salesforce Service Cloud to route cases to the appropriate agent queue.
NEW QUESTION # 297
Universal Containers (UC) is preparing to use the Agentforce Testing Center to ensure the reliability of a new agent. UC has a CSV file with test cases and is reviewing the documentation to understand best practices and limitations. Which best practice should the company follow to avoid modifying CRM data while running tests in the Testing Center?
A. Use the Testing Center only in the sandbox environment.
B. Limit the number of test cases to 50 per test to minimize data changes.
C. Run tests in the production environment to ensure real-time data accuracy.
Answer: A
Explanation:
According to the AgentForce Testing and Validation Guidelines, all automated or large-scale test runs in Testing Center should be executed in a sandbox environment to prevent any unintended modifications to live CRM data.
Running tests in production can trigger record updates, create cases, or call actions that alter live data, violating best practice standards for safe validation. Testing in a sandbox ensures the environment mirrors production logic while maintaining data isolation.
NEW QUESTION # 298
After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should the Agentforce Specialist keep in mind for this deployment?
A. Review and test standard and custom Agent topics and actions for Service Center use cases.
B. Assign the Agentforce for Service permission to the Service Cloud users.
C. Assign the standard service actions to Agentforce Service Agent.
Answer: A
Explanation:
When deploying Einstein Agent (formerly Agentforce) from Sales to Service Cloud:
Agent Topics and Actions are context-specific. Service Cloud use cases (e.g., case resolution, knowledge retrieval) require validation of existing topics/actions to ensure alignment with service workflows.
NEW QUESTION # 299
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