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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
| Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
>> Valid AI-201 Exam Syllabus <<
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NEW QUESTION # 220
An Agentforce is creating a custom action in Agent. Which option is available for the Agentforce Specialist to choose for the custom copilot action?
Answer: B
Explanation:
When creating a custom action in Agent, one of the available options is to use Flows. Flows are a powerful automation tool in Salesforce, allowing the Agentforce Specialist to define custom logic and actions within the Copilot system. This makes it easy to extend Copilot's functionality without needing custom code.
While Apex triggers and SOQL are important Salesforce tools, Flows are the recommended method for creating custom actions within Agent because they are declarative and highly adaptable.
NEW QUESTION # 221
Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team. What should the Agentforce Specialist be aware of before enabling this feature?
Answer: C
Explanation:
Before enabling Call Explorer, the Salesforce Agentforce Specialist must ensure that the Einstein Conversation Insights permission set is assigned to users (Option C). Call Explorer is a feature within Einstein Conversation Insights (ECI) that analyzes meeting recordings to surface trends, keywords, and actionable insights.
Key Considerations:
Permission Set Requirement:
Users (including admins) need the Einstein Conversation Insights permission set to access and use Call Explorer. Without this, the feature remains inaccessible.
The permission set grants access to ECI tools, including call transcription, analysis, and dashboard visibility.
NEW QUESTION # 222
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?
Answer: B
Explanation:
The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting.
NEW QUESTION # 223
How does Agentforce select the correct action to resolve a user's request?
Answer: A
Explanation:
In the AgentForce Architecture and Reasoning Engine Overview, Salesforce explains that the large language model (LLM) drives topic and action selection. The documentation states:
"AgentForce uses an LLM to interpret user intent, map it to existing topics, and trigger the appropriate action when available. If no matching topic or action is found, the LLM attempts to generate a direct response using its available context."
NEW QUESTION # 224
A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features. Which Einstein Generative AI feature should An Agentforce recommend to help the rep get the details they might have missed during a conversation?
Answer: B
Explanation:
For a sales rep who may miss key details during long sales calls, the Agentforce Specialist should recommend the Call Summary feature. Call Summary uses Einstein Generative AI to automatically generate a concise summary of important points discussed during the call, helping the rep quickly review the key information they might have missed.
Call Explorer is designed for manually searching through call data but doesn't summarize.
Sales Summary is focused more on summarizing overall sales activity, not call-specific content.
NEW QUESTION # 225
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