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Salesforce AI-201 Exam Syllabus Topics:

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

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q134-Q139):

                              NEW QUESTION # 134
                              An Agentforce is creating a custom action for Agentforce. Which setting should the a ensure the action performs as expected?

                              Answer: A

                              Explanation:
                              When creating a custom action for Einstein Bots in Salesforce (including Agentforce), Action Instructions are critical for defining how the bot processes and executes the action. These instructions guide the bot on the logic to follow, such as API calls, data transformations, or conditional steps. Testing and iterating on the instructions ensures the bot understands how to handle dynamic inputs, external integrations, and decision-making.
                              Salesforce documentation emphasizes that Action Instructions directly impact the bot's ability to execute workflows accurately. For example, poorly defined instructions may lead to incorrect API payloads or failure to parse responses. The Einstein Bot Developer Guide highlights that refining instructions is essential for aligning the bot's behavior with business requirements.


                              NEW QUESTION # 135
                              What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

                              Answer: C

                              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 # 136
                              Which metric provides the MOST insight into whether an Agentforce agent is delivering business value?

                              Answer: D

                              Explanation:
                              Business value is best measured by successful task completion and resolution outcomes.


                              NEW QUESTION # 137
                              Universal Containers plans to enable Agentforce in Slack so teams can interact with agents directly in Slack channels. Which description represents the key steps required to enable Agentforce in Slack?

                              Answer: A

                              Explanation:
                              The AgentForce for Slack Deployment Guide outlines the exact process for enabling AgentForce in Slack. The steps include:
                              Configuring the Slack agent connection to link Salesforce with the Slack workspace.
                              Installing the agent in the "Manage AgentForce" section.
                              Assigning agent access to specific Slack users or channels.
                              The documentation notes: "Administrators must first establish a Slack connection through Salesforce setup, then deploy the AgentForce app to the desired workspace. User permissions are managed in the Manage AgentForce console."


                              NEW QUESTION # 138
                              A company wants to retrieve patient history details to augment the Al agent response. [he company wants to leverage the Data Cloud search index feature. What is best practice when considering retrieval-augrmented generation (RAG) for information that may contain personally identifiable information (PII)?

                              Answer: C

                              Explanation:
                              According to the AgentForce Data Governance and RAG Security Guidelines, when implementing retrieval-augmented generation (RAG) using Data Cloud search indexes, best practice is to ensure that personally identifiable information (PII) and other sensitive data are never indexed or embedded in the retrieval system.
                              The documented recommendation is to mask or exclude sensitive fields before creating embeddings or indexing content. This prevents the large language model (LLM) from accessing or generating responses that could inadvertently expose confidential information. Masking can include redacting names, IDs, contact details, or any regulated medical information.


                              NEW QUESTION # 139
                              ......

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