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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Prompt Engineering20%- Prompt template creation: field generation, flex types
- Prompt Builder usage and use cases
- Grounding techniques and best practices
- Prompt management and user roles
Data Cloud for Agentforce20%- Agentforce Data Library types
- Improving response accuracy with data grounding
- Retrievers and search types: keyword, vector, hybrid
- Unstructured data processing: chunking, indexing
AI Agents35%- Agent types: Service, Sales, Employee
- Topics and actions configuration
- Channel integration: digital experience, email, Slack
- Deterministic controls: filters and variables
- Agent User security and permissions
- Agent architecture and reasoning engine
Multi-Agent Interoperability5%- Agent-to-agent communication
- Model Context Protocol (MCP)
- Agent API usage scenarios
Development Lifecycle15%- Testing agents in Testing Center
- Version control and maintenance
- Monitoring, adoption and optimization
- Deployment: sandbox to production

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Salesforce Certified Agentforce Specialist Sample Questions (Q116-Q121):

NEW QUESTION # 116
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive intelligence. Which feature provides insights about competitor mentions and coaching opportunities?

Answer: A

Explanation:
For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information, Call Explorer is the most suitable feature. Call Explorer, a part of Einstein Conversation Insights, enables sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, including competitor mentions and moments for coaching. These insights are vital for improving sales performance by providing a clear understanding of the interactions during calls.
Call Summaries offer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.
Einstein Sales Insights focuses more on pipeline and forecasting insights rather than call-based analysis.


NEW QUESTION # 117
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?

Answer: B

Explanation:
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.


NEW QUESTION # 118
Universal Containers (UC) wants to deploy an Agentforce Service Agent to support customers via a web experience. UC uses a Digital Experience site and wants to enable messaging for logged- in users. The customer needs to pass the membership number to the agent for which a pre-chat variable is available. What is a required step to connect the agent to the Digital Experience site using Messaging for In-App and Web?

Answer: C

Explanation:
The required step to route any messaging session, including those from Messaging for In-App and Web (MIAW) on a Digital Experience site, to an Agentforce Service Agent is to Create an Omni-Channel flow that routes messages to the agent (B).
Messaging for In-App and Web utilizes Omni-Channel Routing to direct incoming work items (which are created as MessagingSession records) to the correct destination. When setting up the Messaging Channel for a Digital Experience site, the Routing Type must be configured to use a Flow. This Flow is an Omni-Channel Flow that explicitly contains a Route Work action element configured to route to the Agentforce Service Agent.
Crucially, this Omni-Channel Flow also handles the passing of the pre-chat variables (like the membership number). The pre-chat variables are mapped in the Messaging Channel settings to input variables in the Omni-Channel Flow. The Flow can then use this membership number to perform a record lookup, enrich the context of the conversation (e.g., by updating the related MessagingSession record), and then successfully route the session to the Agentforce Service Agent using the Route To: Bot action, which targets the specific Agentforce Agent.


NEW QUESTION # 119
When is the Agent-to-Agent (A2A4) protocol an appropriate communication choice?

Answer: A

Explanation:
The Agent-to-Agent (A2A) protocol in AgentForce is specifically designed to facilitate collaboration and coordination between multiple agents. It allows distinct agents - such as Service, Sales, or Employee Agents - to exchange structured messages, delegate tasks, and share context securely within the Salesforce ecosystem.
AgentForce documentation describes A2A as a collaborative communication framework, enabling agents to "handoff, request, and respond" to each other in complex workflows. This is useful when different agents specialize in separate domains (e.g., one handles billing inquiries, another manages account upgrades).


NEW QUESTION # 120
Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

Answer: B

Explanation:
UC is integrating an Agentforce agent with Omni-Channel Flow to route work.


NEW QUESTION # 121
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