Formats of VCEPrep Updated AI-201 Exam Practice Questions

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Trust Layer & Security- Data Masking
  • 1. Configuration of privacy data entities
- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices
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 (Q186-Q191):

NEW QUESTION # 186
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Agent and extending Service Cloud to mobile users. When would Agent implementation be most advantageous?

Answer: A

Explanation:
Agent implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Agent can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.


NEW QUESTION # 187
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent.
What is an important consideration when deploying Apex that is invoked by an Agent Action?

Answer: A

Explanation:
Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality.


NEW QUESTION # 188
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?

Answer: A

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 # 189
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?

Answer: C

Explanation:
UC has grounded a prompt template with a related list, but the responses are incorrect during UAT. Grounding with related lists in Agentforce allows the AI to access data from child records linked to a parent object.


NEW QUESTION # 190
An Agentforce has created a copilot custom action using flow as the reference action type.
However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting. What should the Agentforce Specialist do to identify the root cause of the problem?

Answer: C

Explanation:
When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging, the Agentforce Specialist can see detailed logs showing both the inputs and outputs of the flow, which helps identify where the action might be failing or not delivering the expected results.


NEW QUESTION # 191
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