Free Salesforce Agentforce-Specialist Exam Questions

Become Salesforce Certified with updated Agentforce-Specialist exam questions and correct answers

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Total 291 Questions | Updated On: Mar 19, 2026

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Question 1

Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and

relevant policy and compliance information to customers. The agent must:

Semantically search HR policies, compliance guidelines, and company procedures.

Ensure responses are grounded on published Knowledge.

Allow Knowledge updates to be reflected immediately without manual reconfiguration.What should

UC do to ensure the agent retrieves the right information?

A : Enable the agent to search all internal records and past customer inquiries.

B : Set up an Agentforce Data Library to store and index policy documents for AI retrieval.

C : Manually add policy responses into the AI model to prevent hallucinations.

Answer: B

Question 2

What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

A : The Activities related list on the Account object is not supported because it is a polymorphic field.

B : If person accounts have been enabled, merge fields will not be available for the Account object.

C : Prompt generation will yield no response when there is no related list associated with an Account in runtime.

Answer: A

Question 3

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?

A : Ground with Apex Merge Fields

B : Ground with Record Merge Fields

C : Automatic grounding using Draft with Einstein feature

Answer: C

Question 4

Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequate company data to general useful responses. Which solution should UC consider?

A : fine-tune the Einstein AI model with CBM data.

B : Build Al model with Einstein discovery and deploy to sales users.

C : Enable Agentforce and deploy to sales users.

Answer: A

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?

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

Page: 1 / 59

Total 291 Questions | Updated On: Mar 19, 2026

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