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| Section | Weight | Objectives |
|---|---|---|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Prompt Engineering | 20% | - Prompt Builder usage
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Governance & Observability | 10% | - AI governance
|
| AI Agents | 35% | - Agent behavior configuration
|
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NEW QUESTION # 243
Universal Containers plans to enable Agentforce in Slack so teams can interact with agents directly in Slack channels. Which description represents the key steps required to enable Agentforce in Slack?
Answer: A
Explanation:
The AgentForce for Slack Deployment Guide outlines the exact process for enabling AgentForce in Slack. The steps include:
Configuring the Slack agent connection to link Salesforce with the Slack workspace.
Installing the agent in the "Manage AgentForce" section.
Assigning agent access to specific Slack users or channels.
The documentation notes: "Administrators must first establish a Slack connection through Salesforce setup, then deploy the AgentForce app to the desired workspace. User permissions are managed in the Manage AgentForce console."
NEW QUESTION # 244
What does it mean when a prompt template version is described as immutable?
Answer: B
Explanation:
According to the AgentForce Prompt Template Versioning Guide, when a prompt template version is marked as immutable, it means that no edits or modifications can be made to that version after it has been activated. This ensures that the logic, wording, and grounding parameters tied to that version remain locked and consistent for auditing, reproducibility, and compliance purposes.
If further changes are required, the system automatically creates a new draft version of the template. The old version remains immutable and preserved for traceability.
NEW QUESTION # 245
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?
Answer: B
Explanation:
Secure Data Retrieval enforces Salesforce's security model by dynamically grounding data access in the permissions of the user executing the prompt. This ensures compliance with CRUD (Create, Read, Update, Delete) and FLS (Field-Level Security) settings, preventing unauthorized access to sensitive data. For example, if a user lacks access to a specific object or field, the AI model cannot retrieve it for dynamic grounding.
NEW QUESTION # 246
During configuration, Universal Containers (UC) forgot to grant Knowledge access to the Agentforce Service Agent. Which permission must UC add for the agent to interact with Knowledge articles and answer customer questions effectively?
Answer: A
Explanation:
According to the AgentForce for Service Configuration Guide, for an agent to interact with and retrieve Knowledge articles, it must have Knowledge object and field access, along with the
"Allow View Knowledge" permission. The documentation explains: "Agents need permission to access Knowledge records and their fields to retrieve and summarize content accurately.
Additionally, the Allow View Knowledge setting enables the agent to use the Knowledge object as a retrieval source."
NEW QUESTION # 247
Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data. Which audit data is available using the Einstein Trust Layer?
Answer: A
Explanation:
Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information about masked data-which ensures sensitive information is not exposed-and the toxicity score, which evaluates the generated content for inappropriate or harmful language.
NEW QUESTION # 248
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