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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q215-Q220):

NEW QUESTION # 215
An Agentforce Specialist is assisting Universal Containers with troubleshooting an agent. The Agentforce Specialist notices that the agent is not using topic actions in the desired sequence, causing inconsistent outcomes. Which technique should the Agentforce Specialist recommend to ensure deterministic control over the order in which actions are executed?

A. Specify custom variables and filters.
B. Specify the large language model (LLM) provider and version.
C. Specify the order of actions.

Answer: C

Explanation:
The AgentForce Action Sequencing and Deterministic Flow Guide explains that to ensure actions are executed in a specific and predictable order, administrators must explicitly define the order of actions in the topic setup. The documentation states:
"To achieve deterministic control, sequence the topic's actions in the desired order of execution.
This ensures that dependent actions, such as data retrieval followed by record creation, execute consistently and predictably."

NEW QUESTION # 216
Universal Containers wants to implement a customer verification process where sensitive account information can only be accessed after the customer passes identity verification. The agent must enforce this security rule deterministically without allowing the large language model (LLM) to bypass the verification requirement. What should an Agentforce Specialist recommend as the best solution?

A. Include detailed verification instructions in the agent's topic instructions explaining when customers should be verified and rely on the LLM to follow these guidelines consistently across all interactions.
B. Use context variables to store verification status in the messaging session and configure the agent to check these variables through natural language prompts during each sensitive action.
C. Create a custom variable IsCustomerVerified set by a verification action, then apply a conditional filter using the expression IsCustomerVerified equals true to all sensitive data actions, ensuring deterministic access control that the LLM can't alter.

Answer: C

Explanation:
The AgentForce Security and Deterministic Logic Guide specifies that sensitive actions must be gated through conditional filters linked to verification variables, not through natural language. It states: "For any process requiring secure, deterministic access, create a custom variable (e.g., IsCustomerVerified) that stores the verification status as a Boolean. Apply a filter expression to all protected actions (e.g., IsCustomerVerified = true). This ensures the LLM cannot bypass or alter access logic." This configuration ensures security and determinism because the execution of sensitive actions is programmatically enforced, not dependent on the LLM's understanding.

NEW QUESTION # 217
Universal Containers (UC) wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, "Show me other opportunities like this one." How should UC achieve this with Agents?

A. Use the standard Agent action.
B. Create a custom Agent action calling an Apex class.
C. Create a custom Agent action calling a flow.

Answer: A

Explanation:
Universal Containers can achieve the request to explore similar opportunities by using the standard Copilot action. Agent has built-in actions to handle natural language queries, such as
"Show me other opportunities like this one." The standard action will process the query and return results based on predefined matching criteria like opportunity details and past Closed Won deals.
This approach avoids the need to create custom flows or Apex classes, leveraging out-of-the-box functionality.

NEW QUESTION # 218
A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. Which permission sets should an Agentforce Specialist assign to the data scientist?

A. Prompt Template User and Data Cloud Admin
B. Prompt Template Manager and Prompt Template User
C. Data Cloud Admin and Prompt Template Manager

Answer: C

Explanation:
The data scientist requires permissions for Einstein Studio (model management) and Prompt Builder (template creation). Note: "Einstein Studio" may be a misnomer for Data Cloud's model management or a related tool, but we'll interpret based on context.

NEW QUESTION # 219
An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the AX Specialist to achieve this?

A. AI Audit & Feedback Data dashboard
B. User Utterances dashboard
C. Agent Event Logs dashboard

Answer: B

Explanation:
The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the Agentforce Specialist to:
Identify Common Queries: Surface frequently asked questions or recurring issues.
Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.

NEW QUESTION # 220
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