Question 1

Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?

Options :

A : Generation is grounded with conversation context, Knowledge articles, and cases.

B : Generation is grounded with existing conversation context only.

C : Generation is grounded with conversation context and Knowledge articles.

Answer: A

Question 2

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 theAgentforce Specialistrecommend to achieve this use case?

Options :

A : Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.

B : Fine-Tune the standard foundational model due to the complexity of the data.

C : Deploy UC-s own custom foundational model on this data first.

Answer: A

Question 3

Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides. What should theAgentforce Specialistdo to meet this requirement?

Options :

A : Create a prompt template for product tutorials and guides.

B : Add an Answer Questions custom field in the product object for tutorial instructions.

C : Publish product tutorials and guides as Knowledge articles.

Answer: C

Question 4

Which use case is best supported by Salesforce Einstein Copilot's capabilities?

Options :

A : Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.

B : Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.

C : Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

Answer: A

Question 5

An Agentforce Service Agent, who has been successfully assisting customers with service requests in Salesforce, is now unable to help customers with issues related to a new product replacement process. The company recently implemented a custom Product Replacement object in Salesforce to track and manage these replacements. Which Agentforce Agent User change must be implemented to address this issue?

Options :

A : The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow

B : The permission set assigned to the Agent User needs Read access to the custom Product Replacement object.

C : The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.

Answer: B