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Salesforce Certified Agentforce Specialist Sample Questions:
1. In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?
A) Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.
B) Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.
C) Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.
2. An Agentforce Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time, UC wants to help prep the sales team for calls by:
- Summarizing past purchases
- Displaying products the contact has shown interest in (with data
captured via Data Cloud)
- Providing a recap of past email and phone conversations that have
transcripts
Which approach should the Agentforce Specialist recommend to achieve this goal?
A) Fine-tune the standard foundational model due to the complexity of the data.
B) Deploy UC's own custom foundational model on this data first.
C) Use a prompt template grounded on CRM and Data Cloud data using standard foundation models.
3. Universal Containers (UC) is creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements. Which prompt template type should UC use and which consideration should UC review?
A) Field Generation, and that Dynamic Forms is enabled
B) Field Generation, and that Dynamic Fields is enabled
C) Flex, and that Dynamic Fields is enabled
4. An Agentforce turned on Einstein Generative AI in Setup. Now, the Agentforce Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu. What is causing the problem?
A) The large language model (LLM) was not configured correctly in Data Cloud.
B) The Prompt Template Manager permission set was not assigned correctly.
C) The Prompt Template User permission set was not assigned correctly.
5. Universal Containers has multiple Salesforce orgs, each with a unique customer service agent where a verification agent must pass customer identity data to downstream agents handling account modifications. The customer ID must remain secure and persistent across agent handoffs without exposure to large language model (LLM) modification. What is the most appropriate configuration?
A) Store customer identity information in conversation variables created by the first agent and have other agents read those same conversation variables.
B) Use the Agent API to start the downstream agent's session and pass the verified customer ID as a read-only context variable, ensuring security and preventing LLM alteration.
C) Implement a custom object to temporarily store verification status and have each agent query it via SOQL actions during execution.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B |






