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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Topic 2: Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
| Topic 3: Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Topic 4: Reasoning Engine & AI Actions | - Workflow mastery
|
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NEW QUESTION # 39
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: A
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 # 40
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set. The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production. What is the most likely cause of this issue?
Answer: B
Explanation:
Per the AgentForce Deployment and Flow Integration Guide, when deploying flows via change sets, the flows arrive in the production org in "inactive" status by default. The administrator must manually activate the flow post-deployment before it can be executed by agents or users.
This explains why the agent encounters an error when attempting to run the flow--the system recognizes the flow but cannot invoke it because it remains inactive.
NEW QUESTION # 41
Cloud Kicks wants to integrate its agent with its custom website. The goal is for customers to interact with the custom agent chat interface. Which approach provides the framework for the custom web application to communicate with the agent?
Answer: C
Explanation:
The AgentForce API Integration Guide defines the Agent API as the framework that enables external web or mobile applications to communicate directly with Salesforce-hosted agents. This API supports message exchange, session management, and context persistence -- allowing developers to build custom chat interfaces while maintaining secure, real-time connectivity with the AgentForce reasoning engine.
NEW QUESTION # 42
Which metric provides the MOST insight into whether an Agentforce agent is delivering business value?
Answer: C
Explanation:
Business value is best measured by successful task completion and resolution outcomes.
NEW QUESTION # 43
For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?
Answer: A
Explanation:
In Salesforce Agentforce, a Data Library is a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files are indexed to make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs. Salesforce Agentforce integrates tightly with Data Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud's vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.
NEW QUESTION # 44
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