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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
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. Standard Agent actions
  • 2. Custom Agent actions (Apex)
  • 3. Custom Agent actions (Flows)
Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices

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Salesforce Certified Agentforce Specialist Sample Questions (Q30-Q35):

NEW QUESTION # 30
An agent incorrectly updates records when given ambiguous user instructions. What is the BEST mitigation strategy?

Answer: A

Explanation:
Clear prompt instructions, guardrails, and constraints reduce unintended actions caused by ambiguity.


NEW QUESTION # 31
What is the main purpose of Prompt Builder?

Answer: B

Explanation:
Prompt Builder is designed to help organizations create and configure reusable prompts for large language models (LLMs). By integrating generative AI responses into workflows, Prompt Builder enables customization of AI prompts that interact with Salesforce data and automate complex processes. This tool is especially useful for creating tailored and consistent AI-generated content in various business contexts, including customer service and sales.


NEW QUESTION # 32
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Agent is enabled?

Answer: A

Explanation:
When the "Enrich event logs with conversation data" setting is enabled in Agent, it allows An Agentforce or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping Agentforce Specialists track AI behavior and user engagement.


NEW QUESTION # 33
Universal Containers wants to test agents while preserving real data and isolating from production. Which environment should the company use with Testing Center?

Answer: C

Explanation:
The AgentForce Testing Center Implementation Guide specifies that organizations should perform all structured and regression testing in a sandbox environment replicated from production. The guide explains:
"Testing Center supports running tests safely in sandbox environments that mirror production data. This ensures realistic test conditions without impacting live systems or data."


NEW QUESTION # 34
A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?

Answer: B

Explanation:
Einstein Service Replies: This feature is designed to generate contextual, AI-powered response suggestions for agents during chat and email interactions. Crucially, these replies can be grounded in your organization's knowledge base, ensuring consistency and accuracy. This aligns perfectly with the requirement for quick, relevant, and consistent responses.


NEW QUESTION # 35
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