Free Agentforce Specialist sample questions
Try these before reading the answers. The mix follows the weighting, so AI Agents appears most.
Question 1. An agent must always apply the same discount calculation and never vary its wording when quoting the figure to a customer. How should this be implemented?
- A. Instruct the agent in its topic description to always phrase it the same way
- B. Use deterministic mechanisms such as variables and template expressions
- C. Select a model with a lower temperature setting
- D. Remove the discount capability from the agent
Show answer
Answer: B
Deterministic behaviour is achieved with mechanisms such as filters, variables and template expressions, which produce the same output every time rather than leaving it to the model. Instructing the agent in natural language does not enforce consistency, a larger model does not make output deterministic, and disabling the agent removes the capability.
Question 2. A prompt template has been created and tested, but users report it is unavailable when they try to use it. What is the most likely cause?
- A. The template needs a larger context window
- B. The wrong template type was selected
- C. The template has not been activated
- D. The template lacks a grounding source
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Answer: C
A prompt template must be activated before it can be executed, and creation and testing alone do not make it available. A larger context window, a different template type and additional grounding would not explain the template being entirely unavailable.
Question 3. An agent grounded on a large library of policy documents returns answers that are fluent but draw on the wrong section of a long document. Which Data 360 concept should be examined first?
- A. Chunking — how the documents are split before indexing
- B. Model access management
- C. The Trust Layer configuration
- D. The agent’s channel configuration
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Answer: A
Chunking determines how documents are split for retrieval, and poorly sized or bounded chunks cause the retriever to match the wrong passage even though generation is fluent. Model access governs which model is used, the Trust Layer handles security and privacy, and channel configuration concerns where the agent is surfaced.
Question 4. Before releasing an updated agent, a team must evaluate whether its responses still meet expectations across a set of representative scenarios. What should they use?
- A. Prompt Builder
- B. The Agent API
- C. Agent analytics in production
- D. Testing Center
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Answer: D
Testing Center is the tool for testing agents and running evaluations against expected outcomes, which is what validating responses across representative scenarios requires. Prompt Builder authors templates, the Agent API exposes agents programmatically, and agent analytics report on production behaviour after release.
Question 5. An organisation wants its Salesforce agent to delegate a specialised task to an agent built by another team on a different vendor's platform, using an open standard. Which applies?
- A. The Trust Layer
- B. The A2A protocol
- C. The Agentforce Data Library
- D. Testing Center
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Answer: B
A2A is the open agent-to-agent standard for communication between agents across implementations, which is what delegating to another vendor’s agent requires. The Trust Layer governs security and privacy, Data Library holds grounding content, and Testing Center evaluates agents.
How did you do?
Question 2 is the one worth noting. Activation is a distinct step for prompt templates, called out explicitly in Salesforce’s outline, and “it works in testing but users cannot see it” is exactly how that gets examined.
Question 3 covers Data 360, which is 20% of the exam and the section candidates most often treat as background reading. It is not — chunking, indexing and retrievers have real consequences. See week 2 of the study plan.