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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Agents	35%	- Agent User security and permissions - Channel integration: digital experience, email, Slack - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee - Agent architecture and reasoning engine - Topics and actions configuration
Topic 2: Development Lifecycle	15%	- Monitoring, adoption and optimization - Testing agents in Testing Center - Deployment: sandbox to production - Version control and maintenance
Topic 3: Prompt Engineering	20%	- Prompt management and user roles - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases
Topic 4: Multi-Agent Interoperability	5%	- Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios
Topic 5: Data Cloud for Agentforce	20%	- Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q145-Q150):

145. Frage
Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?

A. Generation is grounded with conversation context, Knowledge articles, and cases.
B. Generation is grounded with conversation context and Knowledge articles.
C. Generation is grounded with existing conversation context only.

Antwort: A

Begründung:
When generating a Work Summary, Einstein leverages multiple sources of information to provide a comprehensive and accurate case summary for agents.
Conversation Context:
Einstein analyzes the details of the customer interaction, including chat or email threads, to extract relevant information for the summary.
Knowledge Articles:
It considers linked Knowledge Articles or articles referred to during the case resolution process, ensuring the summary incorporates accurate resolutions or additional resources provided to the customer.
Cases:
Einstein also examines historical cases and related case records to ground the summary in context from past resolutions or interactions.

146. Frage
The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page. Which AI capability should the team use?

A. Model Builder
B. Agent Builder
C. Prompt Builder

Antwort: C

Begründung:
The hotel resort team needs an AI-generated guest summary with recommendations, displayed exclusively on the contact record page.

147. Frage
Universal Containers' data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS). What should the team use to access externally-hosted models in the Salesforce Platform?

A. App Builder
B. Model Builder
C. Copilot Builder

Antwort: B

Begründung:
To access externally-hosted models, such as a large language model (LLM) hosted on AWS, the Model Builder in Salesforce is the appropriate tool. Model Builder allows teams to integrate and deploy external AI models into the Salesforce platform, making it possible to leverage models hosted outside of Salesforce infrastructure while still benefiting from the platform's native AI capabilities.

148. Frage
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?

A. Add Flex Instructions
B. Add Prompt Instructions
C. Add Flow Instructions

Antwort: C

Begründung:
Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
"Flex Prompt Templates" allow admins and Agentforce Specialists to incorporate external or dynamic data into generative AI prompts.
Why "Add Flow Instructions" Is Needed
Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.

149. Frage
Universal Containers (UC) stores case details and updates in several custom fields and custom objects related to the case. UC would like its Agentforce Service Agent to be able to provide information in these fields and related records as part of an answer back to its customers when the customer is asking for updates. Which best practice should UC follow to grant access to this information for the Agentforce Service Agent?

A. Create a new permission set with the Einstein Agent License and enable Read access to the custom fields and custom objects, and assign it to the Agentforce Service Agent user.
B. Update the Object and Field access in the Einstein Agent User Profile so that the Agentforce Service Agents will always get the necessary access.
C. Update the Object and Field access in the AgentforceServiceAgentUserPsg permission set group that is already assigned to the Agentforce Service Agent user,

Antwort: C

Begründung:
Per the AgentForce Security and Permission Management Guide, the
AgentForceServiceAgentUserPsg (Permission Set Group) controls access privileges for Service Agents, including which Salesforce objects, fields, and related data they can read or interact with.
When extending an agent's access to additional custom fields or related objects, the documented best practice is to update the existing permission set group assigned to that agent type rather than creating new or profile-based permissions. This approach maintains centralized permission governance, ensures license alignment, and avoids conflicts or redundancy across multiple permission layers.

150. Frage
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