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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Agents35%- Agent setup and orchestration
  • 1. Standard and custom topics
    • 2. Standard and custom agent actions
      - Agent behavior configuration
      • 1. Agent reasoning engine concepts
        • 2. Filters and variables for deterministic behavior
          Topic 2: Testing, Deployment & Lifecycle15%- Agent lifecycle management
          • 1. Sandbox to production deployment
            • 2. Testing and validation strategies
              Topic 3: Governance & Observability10%- AI governance
              • 1. Monitoring agent behavior
                • 2. Trust layer and compliance concepts
                  Topic 4: Data Cloud & Grounding20%- Data integration for AI agents
                  • 1. Using Data Cloud for retrieval augmentation
                    • 2. Connecting external data sources
                      Topic 5: 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

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                              Quiz 2026 AI-201: High Hit-Rate Salesforce Certified Agentforce Specialist Study Test

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q93-Q98):

                              NEW QUESTION # 93
                              Which design choice MOST reduces the risk of hallucinations?

                              Answer: D

                              Explanation:
                              Grounding responses in trusted Salesforce data significantly reduces hallucinations.


                              NEW QUESTION # 94
                              Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.

                              Answer: A


                              NEW QUESTION # 95
                              What is the primary function of the reasoning engine in Agentforce?

                              Answer: C

                              Explanation:
                              Why is "Identifying agent topics and actions to respond to user utterances" the correct answer?
                              In Agentforce, the reasoning engine plays a critical role in interpreting user queries and determining the appropriate agent response.
                              Key Functions of the Reasoning Engine in Agentforce:
                              Analyzing User Intent
                              The reasoning engine interprets the meaning behind natural language user inputs.
                              It maps user utterances to predefined topics to determine the correct AI-generated response.
                              Selecting the Appropriate Agent Action
                              The engine evaluates available actions and selects the best response based on the detected topic.
                              For example, if a user asks, "What is my current account balance?", the reasoning engine:
                              Identifies the topic: "Account Information"
                              Chooses the correct action: "Retrieve account balance"
                              Executes the action and returns the response
                              Ensuring AI Accuracy and Context Awareness
                              The reasoning engine grounds AI-generated responses in relevant Salesforce data, ensuring accurate outputs.


                              NEW QUESTION # 96
                              An Agentforce Specialist is creating a custom agent action. The topic is selected correctly, but the action is not. Which setting should the Agentforce Specialist test and iterate on to ensure the action performs as expected?

                              Answer: C

                              Explanation:
                              Per the AgentForce Custom Action Development Guide, if a topic is correctly triggered but the wrong action is executed, the issue typically lies in action instructions. The documentation notes:
                              "Action instructions provide the LLM with explicit guidance on when and how to use a given action. Poorly written or ambiguous instructions can cause the reasoning engine to select an incorrect action, even within the right topic."


                              NEW QUESTION # 97
                              Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements. What should An Agentforce recommend to resolve the issue?

                              Answer: C

                              Explanation:
                              When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the Agentforce Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.


                              NEW QUESTION # 98
                              ......

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