Free Salesforce Agentforce-Specialist Exam Dumps Questions & Answers

A data science team has trained an XGBoost classification model for product recommendations on Databricks. The Agentforce Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
How should the Agentforce Specialist set this up?

• A.  Create the serving endpoint in Databricks, then configure the model using a Python SDK connector.
• B.  Create the serving endpoint in Databricks, then configure the model using Model Builder.
• C.  Create the serving endpoint in Einstein Studio, then configure the model using Model Builder.

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.  Set up an Agentforce Data Library to store and index policy documents for AI retrieval.
• B.  Manually add policy responses into the AI model to prevent hallucinations.
• C.  Enable the agent to search all internal records and past customer inquiries.

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agent capability helps the agent accomplish this?

• A.  Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
• B.  Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
• C.  Invoke a flow which makes a call to external data to create a Knowledge article.

Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should An Agentforce recommend?

• A.  Use BYO-LLM functionality in Einstein Studio.
• B.  Use Flow and External Services to bring data from an external LLM.
• C.  Use Apex to connect to an external LLM and ground the prompt.

Universal Containers wants to implement a customer verification process where sensitive account information can only be accessed after the customer passes identity verification. The agent must enforce this security rule deterministically without allowing the large language model (LLM) to bypass the verification requirement.
What should an Agentforce Specialist recommend as the best solution?

• A.  Use context variables to store verification status in the messaging session and configure the agent to check these variables through natural language prompts during each sensitive action.
• B.  Create a custom variable IsCustomerVerified set by a verification action, then apply a conditional filter using the expression IsCustomerVerified equals true to all sensitive data actions, ensuring deterministic access control that the LLM can't alter.
• C.  Include detailed verification instructions in the agent's topic instructions explaining when customers should be verified and rely on the LLM to follow these guidelines consistently across all interactions.