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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
      Testing, Deployment & Lifecycle15%- Agent lifecycle management
      • 1. Testing and validation strategies
        • 2. Sandbox to production deployment
          Data Cloud & Grounding20%- Data integration for AI agents
          • 1. Connecting external data sources
            • 2. Using Data Cloud for retrieval augmentation
              Prompt Engineering20%- Grounding techniques
              • 1. Best practices for prompt design
                • 2. Data grounding for reducing hallucinations
                  - Prompt Builder usage
                  • 1. Prompt templates and configuration
                    • 2. Field generation and flex templates
                      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 topics
                            • 2. Standard and custom agent actions

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q183-Q188):

                              NEW QUESTION # 183
                              Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent. Which channel consideration should UC be aware of while implementing it?

                              Answer: A

                              Explanation:
                              Universal Containers (UC) is implementing the Agentforce Sales Development Representative (SDR) Agent, a prebuilt AI agent designed to qualify leads and schedule meetings. Channel considerations are critical for deployment.


                              NEW QUESTION # 184
                              What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

                              Answer: A

                              Explanation:
                              When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field.
                              Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.


                              NEW QUESTION # 185
                              What is a Salesforce Agentforce Specialist able to configure in Data Masking within the Einstein Trust Layer?

                              Answer: A

                              Explanation:
                              In the Einstein Trust Layer, the Salesforce Agentforce Specialist can configure privacy data entities to be masked (Option C). This ensures sensitive or personally identifiable information (PII) is obfuscated when processed by AI models.
                              Data Masking Configuration:
                              The Agentforce Specialist defines which fields or data types (e.g., email, phone number, Social Security Number) should be masked. For example, masking the Email field in a prompt response to protect user privacy.
                              This is done through declarative settings in Salesforce, where entities (standard or custom fields) are flagged for masking.


                              NEW QUESTION # 186
                              An Agentforce Specialist is building a Flex prompt template. Which best practice should the Agentforce Specialist follow when creating the Flex prompt template?

                              Answer: B

                              Explanation:
                              In the AgentForce Flex Prompt Design Guide, the recommended best practice for Flex prompt templates is to ensure that the large language model (LLM) is provided with clear contextual information and a defined role (e.g., sales rep, support agent, concierge). Flex prompts are intentionally open-ended and adaptable, enabling them to handle dynamic and conversational use cases, provided they are guided with sufficient context and role clarity.
                              By setting a role and including detailed contextual cues, the LLM can tailor tone, content, and reasoning appropriately while maintaining response accuracy.


                              NEW QUESTION # 187
                              An administrator at Universal Containers is setting up a new Sales Development Representative (SDR) Agent. The agent's purpose is to nurture cold leads before connecting them to the assigned sales rep. To ensure the agent has all the necessary access to the leads in the North America sales region, what should the administrator data?

                              Answer: A

                              Explanation:
                              According to the AgentForce Security and Data Access Configuration Guide, the best practice for ensuring an agent (such as an SDR Agent) can access specific records while maintaining security is to use criteria-based sharing rules. The documentation states: "When an AI Agent needs access to a subset of records (for example, regional leads), create a sharing rule granting access to that agent's user context based on defined criteria such as region or ownership."


                              NEW QUESTION # 188
                              ......

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