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Salesforce Certified Agentforce Specialist Sample Questions:

1. 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) 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.
B) 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.
C) 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.

2. An Agentforce Specialist is creating a prompt template to assist support reps in drafting responses to customer complaints. To ensure the responses are empathetic and helpful, what is a key element to include in the prompt template?

A) A list of keywords related to customer complaints
B) A direct instruction to the large language model (LLM) to role-play as a character
C) The entire history of the customer's previous interactions with the company

3. Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history. Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'

A) Design universal product recommendations.
B) Collect and analyze browsing data.
C) Write a response scrip for the chatbot.

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

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

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

Solutions: