Question 1

An Agentforce implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The Agentforce Specialist needs to configure the system to use the most accurate and up-to-date information for email generation. Which grounding technique should the Agentforce Specialist use?

Options :

A : Ground with Apex Merge Fields

B : Ground with Record Merge Fields

C : Automatic grounding using Draft with Einstein feature

Answer: C

Question 2

Universal Containers (UC) wants to enable its sales team to use AI to suggest recommended products from its catalog. Which type of prompt template should UC use?

Options :

A : Record summary prompt template

B : Email generation prompt template

C : Flex prompt template

Answer: C

Question 3

Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source. How should UC troubleshoot this issue?

Options :

A : Analyze the data mapping between source fields and Data Cloud object fields.

B : Check that the agent has the PDF file field permission access for the data library.

C : Verify the retriever's filter criteria and data source connection.

Answer: C

Question 4

How does an Agent respond when it can’t understand the request or find any requested information?

Options :

A : With a preconfigured message, based on the action type.

B : With a general message asking the user to rephrase the request.

C : With a generated error message.

Answer: B

Question 5

A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities. How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?

Options :

A : The LLM interprets the user-s request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities

B : The LLM uses a static set of rules to match the user-s request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.

C : Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.

Answer: A