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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Governance & Observability10%- AI governance
  • 1. Trust layer and compliance concepts
    • 2. Monitoring agent behavior
      Data Cloud & Grounding20%- Data integration for AI agents
      • 1. Using Data Cloud for retrieval augmentation
        • 2. Connecting external data sources
          AI Agents35%- Agent behavior configuration
          • 1. Agent reasoning engine concepts
            • 2. Filters and variables for deterministic behavior
              - Agent setup and orchestration
              • 1. Standard and custom topics
                • 2. Standard and custom agent actions
                  Testing, Deployment & Lifecycle15%- Agent lifecycle management
                  • 1. Sandbox to production deployment
                    • 2. Testing and validation strategies
                      Prompt Engineering20%- Grounding techniques
                      • 1. Data grounding for reducing hallucinations
                        • 2. Best practices for prompt design
                          - Prompt Builder usage
                          • 1. Prompt templates and configuration
                            • 2. Field generation and flex templates

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q294-Q299):

                              NEW QUESTION # 294
                              Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base. Which AI capability should UC use?

                              Answer: C

                              Explanation:
                              For Universal Containers (UC) to offer personalized service experiences and reduce agent handling time using AI-generated responses grounded in the Knowledge base, the best solution is Einstein Service Replies for Email. This capability leverages AI to automatically generate responses to service- related emails based on historical data and the Knowledge base, ensuring accuracy and relevance while saving time for service agents.


                              NEW QUESTION # 295
                              An Agentforce Specialist needs to create a prompt template that extracts the customer's name, phone number, and case number from a block of text, and nothing else. How should the Agentforce Specialist structure the prompt to ensure the large language model (LLM) doesn't include extra conversation or text?

                              Answer: B

                              Explanation:
                              According to the official AgentForce Prompt Template Design Guide, when extracting specific data such as customer name, phone number, and case number from unstructured text, the best practice is to use well-defined output instructions and examples. The documentation specifies:
                              "To ensure the LLM produces consistent and precise outputs, prompts must include explicit output formatting instructions and examples that demonstrate the desired structure." AgentForce guidance emphasizes structured output control to prevent the LLM from adding conversational or extraneous text. It states: "Always define your output schema clearly - for example, specify JSON or key-value pairs - and provide one or more examples of what the model should return. This ensures the model responds only with structured data and not natural language."


                              NEW QUESTION # 296
                              A company wants an Agentforce agent to update Case records and execute Flows on behalf of support agents. Which security model ensures the agent does NOT exceed the user's data access?

                              Answer: B

                              Explanation:
                              Running the agent in user context ensures it respects the user's permissions, sharing rules, and field-level security.


                              NEW QUESTION # 297
                              An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the AX Specialist to achieve this?

                              Answer: C

                              Explanation:
                              The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the Agentforce Specialist to:
                              Identify Common Queries: Surface frequently asked questions or recurring issues.
                              Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
                              Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.


                              NEW QUESTION # 298
                              An Agentforce Specialist builds a new Service Agent that uses a custom action built on a flow.
                              The agent has been tested in a sandbox and is now ready to deploy. What is a key consideration regarding the activation status of the agent in the production environment?

                              Answer: C

                              Explanation:
                              According to the AgentForce Deployment and Lifecycle Management Guide, when an agent is deployed from a sandbox to a production environment, activation does not carry over automatically. The documentation clarifies: "Each environment maintains its own activation state.
                              Agents must be manually activated in production after deployment to ensure controlled rollout and compliance validation."


                              NEW QUESTION # 299
                              ......

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