Salesforce AI-201 Exam Topics Pdf - Latest AI-201 Exam Practice

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Prompt Engineering20%- Grounding techniques
  • 1. Data grounding for reducing hallucinations
    • 2. Best practices for prompt design
      - Prompt Builder usage
      • 1. Field generation and flex templates
        • 2. Prompt templates and configuration
          Governance & Observability10%- AI governance
          • 1. Trust layer and compliance concepts
            • 2. Monitoring agent behavior
              Testing, Deployment & Lifecycle15%- Agent lifecycle management
              • 1. Sandbox to production deployment
                • 2. Testing and validation strategies
                  AI Agents35%- Agent setup and orchestration
                  • 1. Standard and custom agent actions
                    • 2. Standard and custom topics
                      - Agent behavior configuration
                      • 1. Agent reasoning engine concepts
                        • 2. Filters and variables for deterministic behavior
                          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 (Q147-Q152):

                              NEW QUESTION # 147
                              A data science team has trained an XGBoost classification model for product recommendations on Databricks. The Agentforce Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
                              How should the Agentforce Specialist set this up?

                              Answer: B

                              Explanation:
                              To integrate inferences from an XGBoost model into Salesforce's Data Cloud as a stand-alone Data Model Object (DMO):
                              Create the Serving Endpoint in Databricks:
                              The serving endpoint is necessary to make the trained model available for real-time inference.
                              Databricks provides tools to host and expose the model via an endpoint.
                              Configure the Model Using Model Builder:
                              After creating the endpoint, the Agentforce Specialist should configure it within Einstein Studio's Model Builder, which integrates external endpoints with Salesforce Data Cloud for processing and storing inferences as DMOs.


                              NEW QUESTION # 148
                              Universal Containers (UC) needs to capture and store detailed interaction data for all agents.
                              Which feature should help UC get a full view of the agent's behavior from start to finish, including reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses?

                              Answer: C

                              Explanation:
                              The AgentForce Observability and Diagnostics Guide details that AgentForce Session Tracing provides the most comprehensive visibility into agent operations. The documentation explains:
                              "Session Tracing captures the entire execution flow for each agent session - including reasoning engine decisions, executed actions, prompts, gateway inputs and outputs, error logs, and final agent responses - to provide an end-to-end view of agent behavior."


                              NEW QUESTION # 149
                              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: A

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


                              NEW QUESTION # 150
                              An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

                              Answer: C

                              Explanation:
                              The task requires analyzing user inputs, requests, and queries to identify patterns and trends in Agentforce interactions.


                              NEW QUESTION # 151
                              Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?

                              Answer: B

                              Explanation:
                              Universal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
                              Field Generation Prompt Template
                              Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
                              Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.


                              NEW QUESTION # 152
                              ......

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