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Salesforce Certified Agentforce Specialist Sample Questions:

1. Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding. Which objects should UC select to configure Service AI Grounding?

A) Case and Knowledge
B) Case, Knowledge, and Case Notes
C) Case, Case Emails, and Knowledge

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

3. An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts. Which approach should the Agentforce Specialist recommend to achieve this use case?

A) Fine-Tune the standard foundational model due to the complexity of the data.
B) Deploy UC's own custom foundational model on this data first.
C) Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.

4. 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) Implement a custom object to temporarily store verification status and have each agent query it via SOQL actions during execution.
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) Store customer identity information in conversation variables created by the first agent and have other agents read those same conversation variables.

5. Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

A) Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
B) Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
C) Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.

Solutions: