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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Trust Layer & Security- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
- Data Masking
  • 1. Configuration of privacy data entities
Prompt Engineering30%- Prompt Builder & Template Creation
  • 1. Best practices
- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
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 (Flows)
  • 2. Standard Agent actions
  • 3. Custom Agent actions (Apex)

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Salesforce Certified Agentforce Specialist Sample Questions (Q142-Q147):

NEW QUESTION # 142
After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should the Agentforce Specialist keep in mind for this deployment?

Answer: A

Explanation:
When deploying Einstein Agent (formerly Agentforce) from Sales to Service Cloud:
Agent Topics and Actions are context-specific. Service Cloud use cases (e.g., case resolution, knowledge retrieval) require validation of existing topics/actions to ensure alignment with service workflows.


NEW QUESTION # 143
Universal Containers (UC) is expanding its Agentforce for Service capabilities to include case management. For security purposes, UC wants the agent to verify a customer's identity before providing any case-related information. The verification must be deterministic-ensuring that no case details are shared unless identity verification has been successfully completed. Which approach best meets this requirement?

Answer: B

Explanation:
The AgentForce for Service Implementation Guide clearly outlines that when an agent must verify identity before performing any case-related operations, the correct method is to use a variable- based control flow. The documentation specifies: "To maintain deterministic and secure behavior, define a variable (for example, `isVerified') that stores the result of an identity verification step.
Use this variable as a conditional filter in the topic flow to ensure that case-related actions execute only when the variable equals `true'." This ensures that no sensitive or case-specific data is shared unless verification is explicitly confirmed. It provides a deterministic safeguard, as the system only proceeds with case data actions after the verification variable confirms completion.


NEW QUESTION # 144
An Agentforce Specialist wants to ensure their custom agent action performs as expected in conversations. What should the Agentforce Specialist focus on when creating action instructions?

Answer: A

Explanation:
The AgentForce Action Design Guide emphasizes that concise and clear action instructions are essential for predictable and reliable agent behavior. The documentation states: "Action instructions should be concise, clearly define the purpose of the action, and specify its expected inputs and outputs. Each action must be validated through testing in AgentForce Builder to confirm the LLM interprets and executes it as intended."


NEW QUESTION # 145
Before activating a custom agent action, an AgentForce Specialist would like to evaluate multiple real-world user utterances to ensure the action is being selected appropriately. Which tool should the AgentForce Specialist recommend?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
The AgentForce Testing Center is the recommended tool for validating and refining agent behavior before activation. According to the AgentForce Quality Assurance and Testing Framework, the Testing Center enables specialists to simulate and analyze how the reasoning engine classifies user utterances, selects topics, and triggers actions across multiple test cases.
This testing environment provides detailed diagnostics, showing classification confidence, prompt resolution paths, and grounding behavior. It allows for adjustments before production deployment to ensure accuracy and relevance in real-world scenarios.


NEW QUESTION # 146
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 # 147
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