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Salesforce AI-201 Exam Syllabus Topics:

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

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q271-Q276):

                              NEW QUESTION # 271
                              Which object stores the conversation transcript between the customer and the agent?

                              Answer: A

                              Explanation:
                              Why is "Messaging Session" the correct answer?
                              In Agentforce, the Messaging Session object stores the conversation transcript between the customer and the agent.
                              Key Features of the Messaging Session Object:
                              Stores the Entire Customer-Agent Conversation
                              The Messaging Session object maintains a record of the full chat history, including timestamps, messages, and interactions.
                              This ensures that past interactions can be referenced during follow-ups.
                              Supports AI-Powered Work Summaries
                              Einstein AI uses Messaging Sessions to generate summaries of chat interactions for agents.
                              These summaries are stored and accessible for later reference.
                              Links with Service Cloud for Case Resolution
                              If a conversation escalates into a case, the Messaging Session object can be linked to it.
                              This allows support teams to review the conversation history without switching contexts.


                              NEW QUESTION # 272
                              Universal Containers' administrator has developed a new agent in a sandbox environment and now wants to deploy it to production. What should the administrator do to deploy an agent?

                              Answer: C

                              Explanation:
                              As per the AgentForce Deployment and Lifecycle Management Guide, AgentForce agents, including their topics, actions, and prompt templates, can be deployed from sandbox to production using Salesforce change sets.
                              Administrators should create an outbound change set in the sandbox environment that includes all relevant components (Agent definition, prompt templates, topic configurations, flows, and permissions) and then upload it to production for validation and deployment. This process ensures consistency, auditability, and proper dependency tracking between environments.


                              NEW QUESTION # 273
                              An Agentforce Specialist is creating a custom action in Agentforce. Which option is available for the Agentforce Specialist to choose for the custom Agent action?

                              Answer: C

                              Explanation:
                              The Agentforce Specialist is defining a custom action for an Agentforce agent in Agent Builder.
                              Actions determine what the agent does (e.g., retrieve data, update records).


                              NEW QUESTION # 274
                              Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the "Save As" function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters. What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?

                              Answer: C

                              Explanation:
                              When Universal Containers creates a new Sales Email prompt template using the "Save As" function, missing hyperparameters can result in different outputs. To ensure the new prompt produces comparable results to the standard Sales Email prompt, the Agentforce Specialist should manually add the necessary hyperparameters to the new template.
                              Hyperparameters like Temperature, Frequency Penalty, and Presence Penalty directly affect how the AI generates responses. Ensuring that these are consistent with the standard template will result in similar outputs.


                              NEW QUESTION # 275
                              An agent incorrectly updates records when given ambiguous user instructions. What is the BEST mitigation strategy?

                              Answer: A

                              Explanation:
                              Clear prompt instructions, guardrails, and constraints reduce unintended actions caused by ambiguity.


                              NEW QUESTION # 276
                              ......

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