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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prompt Engineering30%- Prompt Builder & Template Creation
  • 1. Best practices
- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
Topic 2: Reasoning Engine & AI Actions- Workflow mastery
  • 1. Standard Agent actions
  • 2. Custom Agent actions (Apex)
  • 3. Custom Agent actions (Flows)
Topic 3: Agent Force Concepts30%- Einstein GPT Integration
  • 1. Advanced implementation strategies
- Data Cloud & Grounding Techniques
  • 1. Real-world applications
Topic 4: Einstein Trust Layer & Security- Data Masking
  • 1. Configuration of privacy data entities
- Trust Layer & Security Features
  • 1. Enterprise-grade deployment

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Salesforce Certified Agentforce Specialist Sample Questions (Q28-Q33):

NEW QUESTION # 28
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 # 29
Universal Containers (UC) wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template. How should UC accomplish this?

Answer: C

Explanation:
UC needs to incorporate data from multiple unrelated objects (standard and custom) into a prompt template for a sales proposal.


NEW QUESTION # 30
Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

Answer: B

Explanation:
UC's sales reps need an AI action to draft personalized emails based on past successful communications, reducing manual review time.


NEW QUESTION # 31
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient's contact record. What is the most likely explanation for why the draft email shows these placeholders?

Answer: C

Explanation:
UC is using an Einstein Generative AI feature (likely Einstein Sales Emails) to draft personalized emails, but placeholders (e.g., {!Contact.FirstName}) appear instead of actual data from the contact record.


NEW QUESTION # 32
Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?

Answer: A

Explanation:
The Model Context Protocol (MCP) in AgentForce and Salesforce AI architecture enables agents to dynamically discover and connect to external tools or APIs during runtime. The documentation defines it as: "MCP allows LLMs to query registered tool endpoints and retrieve their schemas, enabling dynamic tool discovery and invocation in enterprise AI environments."


NEW QUESTION # 33
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