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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Prompt Builder usage
|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| AI Agents | 35% | - Agent behavior configuration
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Governance & Observability | 10% | - AI governance
|
Salesforce Certified Agentforce Specialist Sample Questions:
1. Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent. Which channel consideration should UC be aware of while implementing it?
A) SDR Agent only works in the Email channel.
B) SDR Agent must be deployed in the Messaging channel.
C) SDR Agent must also be deployed on the company website.
2. Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?
A) Generation is grounded with existing conversation context only.
B) Generation is grounded with conversation context and Knowledge articles.
C) Generation is grounded with conversation context, Knowledge articles, and cases.
3. A Salesforce Administrator is exploring the capabilities of Agent to enhance user interaction within their organization. They are particularly interested in how Agent processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agent directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users. How does Agent handle user requests In Salesforce?
A) Agent will trigger a flow that utilizes a prompt template to generate the message.
B) Agent analyzes the user's request and LLM technology is used to generate and display the appropriate response.
C) Agent will perform an HTTP callout to an LLM provider.
4. 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) 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.
B) 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.
C) 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.
5. An Agentforce is considering using a Field Generation prompt template type. What should the Agentforce Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?
A) That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms
B) That the org is set to API version 59 or higher
C) That the field chosen must be a rich text field with 255 characters or more.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A |



