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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Agent Force Concepts	30%	- Einstein GPT Integration 1. Advanced implementation strategies - Data Cloud & Grounding Techniques 1. Real-world applications
Topic 2: Reasoning Engine & AI Actions		- Workflow mastery 1. Standard Agent actions 2. Custom Agent actions (Flows) 3. Custom Agent actions (Apex)
Topic 3: Einstein Trust Layer & Security		- Data Masking 1. Configuration of privacy data entities - Trust Layer & Security Features 1. Enterprise-grade deployment
Topic 4: Prompt Engineering	30%	- Agentforce AI Setup & Configuration 1. Advanced implementation strategies - Prompt Builder & Template Creation 1. Best practices

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AI-201 Reliable Test Question | AI-201 Certification Materials

These Salesforce Certified Agentforce Specialist (AI-201) practice test questions are customizable and give real Salesforce Certified Agentforce Specialist (AI-201) exam experience. Windows computers support desktop software. The web-based AI-201 Practice Exam is supported by all browsers and operating systems.

Salesforce Certified Agentforce Specialist Sample Questions (Q231-Q236):

NEW QUESTION # 231
An Agentforce configured Data Masking within the Einstein Trust Layer. How should the Agentforce Specialist begin validating that the correct fields are being masked?

A. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
B. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
C. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.

Answer: A

Explanation:
To begin validating that the correct fields are being masked in Einstein Trust Layer, the Agentforce Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the Agentforce Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.

NEW QUESTION # 232
What is a Salesforce Agentforce Specialist able to configure in Data Masking within the Einstein Trust Layer?

A. The encryption keys for masking
B. The privacy data entities to be masked
C. The profiles exempt from masking

Answer: B

Explanation:
In the Einstein Trust Layer, the Salesforce Agentforce Specialist can configure privacy data entities to be masked (Option C). This ensures sensitive or personally identifiable information (PII) is obfuscated when processed by AI models.
Data Masking Configuration:
The Agentforce Specialist defines which fields or data types (e.g., email, phone number, Social Security Number) should be masked. For example, masking the Email field in a prompt response to protect user privacy.
This is done through declarative settings in Salesforce, where entities (standard or custom fields) are flagged for masking.

NEW QUESTION # 233
Universal Containers has multiple Salesforce orgs, each with a unique customer service agent where a verification agent must pass customer identity data to downstream agents handling account modifications. The customer ID must remain secure and persistent across agent handoffs without exposure to large language model (LLM) modification. What is the most appropriate configuration?

A. Store customer identity information in conversation variables created by the first agent and have other agents read those same conversation variables.
B. Use the Agent API to start the downstream agent's session and pass the verified customer ID as a read-only context variable, ensuring security and preventing LLM alteration.
C. Implement a custom object to temporarily store verification status and have each agent query it via SOQL actions during execution.

Answer: B

Explanation:
The AgentForce Inter-Agent Communication and Security Configuration Guide specifies that when sensitive identity data (like a verified customer ID) must be shared between agents, the correct approach is to use the Agent API to initiate the downstream agent's session. The verified data should be passed as a read-only context variable, ensuring persistence across sessions while preventing modification by the large language model (LLM).
This setup maintains data integrity and security compliance by isolating sensitive variables from the LLM's reasoning layer. Context variables passed via the Agent API are immutable during runtime, ensuring they cannot be altered or exposed in agent-generated responses.

NEW QUESTION # 234
Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities. What is one criterion that Agentforce for Sales uses to match similar opportunities?

A. Matched opportunities were created in the last 12 months.
B. Matched opportunities are limited to the same account.
C. Matched opportunities have a status of Closed Won from the last 12 months.

Answer: C

Explanation:
UC uses Agentforce for Sales to identify similar opportunities, aiding deal closure.

NEW QUESTION # 235
An Agentforce Specialist created a Field Generation prompt template. What should the Agentforce Specialist do to expose the template to the user?

A. Use a screen flow to associate the Field Generation prompt template.
B. Associate the template with the form field on the Lightning page.
C. Call a template using an autolaunched flow.

Answer: B

Explanation:
The Field Generation prompt template type is specifically designed to enable generative AI within the context of a Salesforce record field. To expose this functionality to an end-user, the Agentforce Specialist must associate the template with the form field on the Lightning page (B).
This is accomplished using the Lightning App Builder:
The Agentforce Specialist first creates a custom field (often a Long Text Area or Rich Text Area) on the desired object to store the AI-generated output.
In the Lightning App Builder for the object's Record Page, the Specialist selects the field component.
In the properties panel for that field component, there is a setting (often a dropdown) to select an active Field Generation Prompt Template.
Once associated, an Einstein icon (or "Generate" button) appears next to the field on the record page, allowing the user to click it to run the prompt, review the AI-generated content, and then decide to use it to populate the field.

NEW QUESTION # 236
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