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Salesforce Certified Agentforce Specialist Sample Questions:

1. 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) Invoke a flow which makes a call to external data to create a Knowledge article.
C) Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

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?

A) Flex prompt template
B) Email generation prompt template
C) Record summary prompt template

3. What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

A) Identify the best matching topic and actions and correct order of execution.
B) Determine a user's topic access and sort actions by priority to be executed.
C) Find similar requested topics and provide the actions that need to be executed.

4. Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature. Which API service should UC use to meet this requirement?

A) REST API
B) SOAP API
C) Metadata API

5. Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?

A) Hybrid search indexes process queries faster than vector search because they eliminate the need for semantic embedding.
B) Vector embedding in hybrid search are prefiltered by keyword matches, reducing computational overhead and improving response accuracy.
C) Hybrid search indexes support both literal keyword matches and semantic recall, useful when queries mix specific terms and intent.

Solutions: