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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Agent Force Concepts30%- Data Cloud & Grounding Techniques
  • 1. Real-world applications
- Einstein GPT Integration
  • 1. Advanced implementation strategies
Reasoning Engine & AI Actions- Workflow mastery
  • 1. Custom Agent actions (Apex)
  • 2. Custom Agent actions (Flows)
  • 3. Standard Agent actions
Einstein Trust Layer & Security- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
- Data Masking
  • 1. Configuration of privacy data entities
Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices

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Valid AI-201 Test Notes - Quiz 2026 AI-201: Salesforce Certified Agentforce Specialist โ€“ First-grade Free Exam Questions

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Salesforce Certified Agentforce Specialist Sample Questions (Q116-Q121):

NEW QUESTION # 116
Universal Containers (UC) is setting up a new Agentforce Service Agent. The company has sensitive medical product research stored internally and wants to ensure the agent cannot access it. What should UC da?

Answer: A

Explanation:
The AgentForce Security and Access Control Best Practices Guide emphasizes the principle of least privilege, which means granting each agent only the permissions strictly necessary to perform its defined tasks.
To prevent unauthorized access to sensitive data such as medical research, administrators should exclude permissions for the Medical Product object and related records from the AgentForce Service Agent's permission set group. This approach ensures that even if the reasoning engine processes a related query, it cannot retrieve or expose data it lacks access to.


NEW QUESTION # 117
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?

Answer: B

Explanation:
Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
"Flex Prompt Templates" allow admins and Agentforce Specialists to incorporate external or dynamic data into generative AI prompts.
Why "Add Flow Instructions" Is Needed
Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.


NEW QUESTION # 118
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: B

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 # 119
Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization. What should the Agentforce Specialist recommend?

Answer: A

Explanation:
To measure adoption and usability of Agents across the organization, Agentforce Analytics is the right tool. It provides dashboards and reports that track how Agents are being used, which actions are triggered most often, and overall performance trends. This data helps organizations drive adoption by identifying gaps, monitoring usage, and demonstrating business value.


NEW QUESTION # 120
After an agent selects a topic, what is an important factor the reasoning engine uses to select the action?

Answer: A

Explanation:
The most crucial factor a reasoning engine uses to select an action after a topic is chosen is the priority given to each action (A). In advanced agent frameworks like AgentForce (simulated context), actions within a topic are typically not executed simply in an explicit, fixed order () unless there's no conditional logic. Instead, the reasoning engine evaluates all available actions and their associated pre-conditions (or triggers) and priorities. A priority score is often a numerical value assigned to an action that dictates its relative importance when multiple actions could potentially be executed simultaneously or when the agent must choose the 'best' action to address the current topic state. This prioritization ensures the agent handles the most critical or relevant tasks first, which is essential for efficient and goal-oriented behavior. The action's name and instructions () are descriptive for the developer but are not the primary selection criteria used by the runtime reasoning engine itself; it's the logic and priority that govern execution.


NEW QUESTION # 121
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