Question 1

Universal Containers (UC) wants to limit an agent’s access to Knowledge articles while deploying the "Answer Questions with Knowledge" action. How should UC achieve this?

Options :

A : Define scope instructions to the agent specifying a list of allowed article titles or IDs.

B : Update the Data Library Retriever to filter on a custom field on the Knowledge article.

C : Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.

Answer: C

Question 2

Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?

Options :

A : Hybrid search indexes process queries faster than vector search because they eliminate the need forsemanticembedding.

B : Vector embedding in hybrid search are prefiltered by keyword matches, reducing computationaloverhead andimproving response accuracy.

C : Hybrid search indexes support both literal keyword matches and semantic recall, useful when queriesmix specificterms and intent.

Answer: C

Question 3

Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality. What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?

Options :

A : Action Triggers

B : Instructions

C : Output Types

Answer: B

Question 4

Universal Containers has a new AI project.What should An Agentforce consider when adding a related list on the Account object to be used in theprompt template?

Options :

A : After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.

B : Prompt Builder must be used to assign the fields from the related list as a JSON format.

C : The fields for the related list are based on the default page layout of the Account for the current user.

Answer: A

Question 5

Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

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