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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Reasoning Engine & AI Actions- Workflow mastery
  • 1. Custom Agent actions (Flows)
  • 2. Custom Agent actions (Apex)
  • 3. Standard Agent actions
Topic 2: Einstein Trust Layer & Security- Data Masking
  • 1. Configuration of privacy data entities
- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
Topic 3: Agent Force Concepts30%- Einstein GPT Integration
  • 1. Advanced implementation strategies
- Data Cloud & Grounding Techniques
  • 1. Real-world applications
Topic 4: Prompt Engineering30%- 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 (Q159-Q164):

NEW QUESTION # 159
Universal Containers (UC) has a library of custom-built personalized investment portfolio APIs, and is planning to extend it to agents. Which method should UC's agent choose to dynamically use the best API service?

Answer: C

Explanation:
The most appropriate and advanced method for an Agentforce agent to dynamically select and use the best API service from a library of custom-built APIs is through Model Context Protocol (MCP) server support (B).
The Model Context Protocol (MCP) is an open standard specifically designed to standardize how AI agents and Large Language Models (LLMs) interact with external tools, systems, and data sources (like custom APIs). An external system, such as a server hosting UC's custom portfolio APIs, can be exposed as an MCP Server. This server provides rich, standardized, human- readable metadata about its "tools" (the APIs it offers). The Agentforce Atlas Reasoning Engine can interpret this metadata to understand the function of each API, the required inputs, and the expected outputs. This allows the agent to dynamically discover, reason over, and select the most appropriate API to execute based on a user's request (e.g., "Show me the best-performing portfolio" vs. "Adjust my risk tolerance").


NEW QUESTION # 160
An Agentforce Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time, UC wants to help prep the sales team for calls by:
- Summarizing past purchases
- Displaying products the contact has shown interest in (with data
captured via Data Cloud)
- Providing a recap of past email and phone conversations that have
transcripts
Which approach should the Agentforce Specialist recommend to achieve this goal?

Answer: C

Explanation:
The AgentForce No-Code Builder and Prompt Template Guide specifies that when using Salesforce's standard foundation models, users can ground prompts on CRM and Data Cloud data without requiring fine-tuning or model deployment. The documentation notes: "No-code users can leverage standard foundation models with prompt templates grounded in Salesforce data, including CRM and Data Cloud, to summarize records, highlight insights, and prepare agents for customer engagements." This approach allows the sales operations team to automatically summarize customer data (purchases, interests, and communications) without needing model customization.


NEW QUESTION # 161
What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?

Answer: C

Explanation:
UC is deploying an Agentforce Service Agent with multiple topics and actions to production.


NEW QUESTION # 162
In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?

Answer: B

Explanation:
In Agentforce, a Knowledge-based data library (e.g., via Salesforce Knowledge or Data Cloud grounding) uses identifying fields and content fields to support AI responses.


NEW QUESTION # 163
A company wants to retrieve patient history details to augment the AI agent response and plans to use the Data Cloud search index feature. What is best practice when considering retrieval- augmented generation (RAG) for information that may contain personally identifiable information (PII)?

Answer: C


NEW QUESTION # 164
......

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