Choose 1 option.
Cloud Kicks (CK) recently finished the development of a new prompt template that uses its own large language model (LLM). CK is deploying a prompt template from a sandbox to a production org, and is receiving an error. When trying to deploy the change set, CK is getting an error related to the LLM used in the prompt template.
What is the cause of the error?

• A. BYOLLM is not yet supported for in prompt templates in production.
• B. The name of the LLM does not match in sandbox and production.
• C. The prompt does not specify that it is a custom LLM.

A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
* Capture the customer ' s issue, troubleshooting steps taken, and next actions.
* Be no longer than five sentences.
* Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state " No next action required." Which prompt template fallows Salesforce prompt design best practices?
required."
Format: Use numbered sentences for clarity.

• A. Role: You are a case documentation assistant, Task: Write a summary of the support call. Context: Always describe the customer issue, troubleshooting, and resolution details. Constraints: The summary should be comprehensive and professional, but there is no limit on length or language style. Format:Use complete sentences in a narrative style.
• B. Role: You are a support agent writing a case summary. Task: Provide a professional summary of the issue and troubleshooting steps. Contest: Include customer issue, steps taken, and next actions if available. Constraints: No strict sentence limit, but use plain language. If no next action is found, leave it out. Format: Use paragraphs for readability.
• C. Role: You are an experienced support agent. Task: Summarize the case notes, Context: Include customer issue, troubleshooting steps, and next actions. Constraints: Limit to 5 sentences, use plain language, and if no next action is found, state "No next action

Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an Agentforce Specialist apply the power of conversational AI to this use case?

• A. Configure the Integration Flow Standard Action in Agent Builder.
• B. Create a custom Agent action which calls a flow.
• C. Create a Flex prompt template in Prompt Builder.

A customer wants to analyze complete agent interactions, from the initial user request through to the final resolution, to better understand agent behavior and response quality.
Which Agentforce feature should an Agentforce Specialist recommend?

• A. Agent Optimization
• B. Agent Insights
• C. Agent Inspection

Universal Containers (UC) is deploying several prompt templates to assist its support agents using Salesforce' s standard foundation models. Leadership requires the generated responses to consistently reflect an empathetic and highly professional tone. UC only permits the use of standard foundational large language models (LLMs).
What is the most effective prompt engineering technique the Agentforce Specialist should implement in Prompt Builder to fulfill this requirement?

• A. Include multiple-choice picklist questions within the prompt template to systematically test and correct the LLM's understanding of the desired context before generating the output.
• B. Include a direct instruction asking the LLM to role-play as a specific character, for example, "Act as an empathetic customer support agent," to provide context and establish the tone.
• C. Configure the prompt template tone with a dataset of past interactions using different writing styles, intensifiers, and punctuation to permanently alter the LLM default tone.