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Salesforce AI-201 Exam Syllabus Topics:

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

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q268-Q273):

                              NEW QUESTION # 268
                              Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history. Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'

                              Answer: C

                              Explanation:
                              To enable personalized product recommendations using generative AI, the foundational step for Universal Containers (UC) is collecting and analyzing browsing data (Option C). Personalized recommendations depend on understanding user behavior, which requires structured data about their browsing history. Without this data, the AI model lacks the context needed to generate relevant suggestions.
                              Data Collection: UC must first aggregate browsing data (e.g., pages visited, products viewed, session duration) to build a dataset that reflects user preferences.
                              Data Analysis: Analyzing this data identifies patterns (e.g., frequently viewed categories) that inform how prompts should be structured to retrieve relevant recommendations.
                              Grounding in Data: Salesforce's Prompt Templates rely on grounding data to generate accurate outputs. Without analyzing browsing data, the prompt template cannot reference meaningful insights for personalization.


                              NEW QUESTION # 269
                              Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?

                              Answer: A

                              Explanation:
                              The Model Context Protocol (MCP) in AgentForce and Salesforce AI architecture enables agents to dynamically discover and connect to external tools or APIs during runtime. The documentation defines it as: "MCP allows LLMs to query registered tool endpoints and retrieve their schemas, enabling dynamic tool discovery and invocation in enterprise AI environments."


                              NEW QUESTION # 270
                              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: C

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


                              NEW QUESTION # 271
                              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?

                              Answer: A

                              Explanation:
                              In order to access and create custom prompt templates in Prompt Builder, the Agentforce Specialist must have the Prompt Template Manager permission set assigned. Without this permission, they will not be able to access Prompt Builder in the Setup menu, even though Einstein Generative AI is enabled.


                              NEW QUESTION # 272
                              Universal Containers (UC) is preparing to use the Agentforce Testing Center to ensure the reliability of a new agent. UC has a CSV file with test cases and is reviewing the documentation to understand best practices and limitations. Which best practice should the company follow to avoid modifying CRM data while running tests in the Testing Center?

                              Answer: A

                              Explanation:
                              According to the AgentForce Testing and Validation Guidelines, all automated or large-scale test runs in Testing Center should be executed in a sandbox environment to prevent any unintended modifications to live CRM data.
                              Running tests in production can trigger record updates, create cases, or call actions that alter live data, violating best practice standards for safe validation. Testing in a sandbox ensures the environment mirrors production logic while maintaining data isolation.


                              NEW QUESTION # 273
                              ......

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