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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Prompt Engineering	20%	- Prompt Builder usage 1. Prompt templates and configuration 2. Field generation and flex templates - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Data Cloud & Grounding	20%	- Data integration for AI agents 1. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
AI Agents	35%	- Agent setup and orchestration 1. Standard and custom topics 2. Standard and custom agent actions - Agent behavior configuration 1. Agent reasoning engine concepts 2. Filters and variables for deterministic behavior
Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Sandbox to production deployment 2. Testing and validation strategies

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q225-Q230):

225. Frage
Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities.

A. Matched opportunities are limited to the same account.
B. Matched opportunities have a status of Closed Won from the last 12 months.
C. Matched opportunities were created in the last 12 months.

Antwort: B

226. Frage
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

A. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
B. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
C. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.

Antwort: B

Begründung:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.

227. Frage
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?

A. Service Replies
B. Case Summaries
C. Case Escalation

Antwort: A

Begründung:
Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus, Service Replies is the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.

228. Frage
Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?

A. A legal assistant agent using MCP to dynamically find a document classification API to analyze case files
B. A customer service agent engaging another agent in real-time conversation to resolve tickets
C. A sales agent discovering other agents' capabilities using Agent Cards

Antwort: A

Begründung:
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."

229. Frage
Universal Containers (UC) plans to answer questions based on similar cases that have been successfully resolved in the past. What should UC consider when implementing this approach?

A. Create an unstructured data model object (UDMO) based on Case object and create an index on it.
B. Create a data model object (DMO) based on Case object and create an index on it.
C. No action is needed, as past cases are used to answer the question.

Antwort: A

Begründung:
According to the AgentForce Data Configuration and Retrieval Guide, when an organization like Universal Containers wants to enable its AI agent to answer questions using historical case data, the correct implementation is to create an Unstructured Data Model Object (UDMO) based on the Case object, then index that data for retrieval.
The documentation clearly explains:
"When using previous case records to power AI-driven Q&A or similarity-based retrieval, create a UDMO mapped to the Case object. UDMOs allow the system to process and semantically index unstructured text fields such as Case Description, Resolution, and Comments, enabling the LLM to surface contextually similar resolved cases." This allows the AgentForce retrieval engine to perform semantic searches across historical support data, returning cases that are most contextually relevant to the user's query.

230. Frage
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