Cloud Kicks has long, complex legal agreements. An Agentforce agent must be able to retrieve specific clauses that are often nested within larger sections. The standard chunking method is failing to capture the full context of these clauses.
Which chunking strategy should an administrator use to preserve the structure of the documents?

• A. Implement a smaller chunk size.
• B. Implement a larger chunk size.
• C. Implement a keyword-based chunking strategy.

What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

• A. Determine a user's topic access and sort actions by priority to be executed.
• B. Find similar requested topics and provide the actions that need to be executed.
• C. Identify the best matching topic and actions and correct order of execution.

Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities. What is one criterion that Agentforce for Sales uses to match similar opportunities?

• A. Matched opportunities are limited to the same account.
• B. Matched opportunities were created in the last 12 months.
• C. Matched opportunities have a status of Closed Won from the last 12 months.

Choose 1 option.
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set.
The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production.
What is the most likely cause of this issue?

• A. The change set did not include the dependent Apex classes for the flow.
• B. The user in production does not have permission to run the flow.
• C. The flow was not manually activated in the production org after the deployment.

Choose 1 option.
Universal Containers has multiple Salesforce orgs, each with a unique customer service agent where a verification agent must pass customer identity data to downstream agents handling account modifications. The customer ID must remain secure and persistent across agent handoffs without exposure to large language model (LLM) modification.
What is the most appropriate configuration?

• A. Store customer identity information in conversation variables created by the first agent and have other agents read those same conversation variables.
• B. Use the Agent API to start the downstream agent ' s session and pass the verified customer ID as a read- only context variable, ensuring security and preventing LLM alteration.
• C. Implement a custom object to temporarily store verification status and have each agent query it via SOQL actions during execution.