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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance & Observability | 10% | - AI governance
|
| Topic 2: Prompt Engineering | 20% | - Prompt Builder usage
|
| Topic 3: AI Agents | 35% | - Agent behavior configuration
|
| Topic 4: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Topic 5: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
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NEW QUESTION # 56
Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization. What should the Agentforce Specialist recommend?
Answer: C
Explanation:
To measure adoption and usability of Agents across the organization, Agentforce Analytics is the right tool. It provides dashboards and reports that track how Agents are being used, which actions are triggered most often, and overall performance trends. This data helps organizations drive adoption by identifying gaps, monitoring usage, and demonstrating business value.
NEW QUESTION # 57
What is true of Agentforce Testing Center?
Answer: B
Explanation:
The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance.
NEW QUESTION # 58
An agent must decide whether to resolve a Case automatically or escalate it to a human. Which design principle BEST supports this behavior?
Answer: A
Explanation:
Human-in-the-loop design allows the agent to hand off to humans when confidence is low or business rules require approval.
NEW QUESTION # 59
Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides. What should the Agentforce Specialist do to meet this requirement?
Answer: A
Explanation:
Universal Containers (UC) wants its support agents to use Agentforce to ask questions about product tutorials and product guides. Agentforce typically references knowledge sources to provide accurate and contextual responses.
Why Knowledge Articles?
Centralized Repository: Publishing product tutorials and guides as Knowledge articles in Salesforce ensures that the information is readily available and searchable by Agentforce.
AI Integration: Salesforce's AI solutions, including Agentforce, can often be configured to pull content directly from Salesforce Knowledge articles, giving users on-demand answers without manual data duplication.
Maintenance & Updates: Storing content in Salesforce Knowledge simplifies content updates, versioning, and user permissions.
NEW QUESTION # 60
When a verified customer in a help center says, "I want to upgrade my service plan," an AI agent needs to complete the following tasks:
- Verify identity and entitlement.
- Create a new quote.
- Calculate a prorated upgrade amount.
- Escalate to an Account Executive (AE) only if the reorder exceeds USD
25,000.
Which type of agent should an AgentForce Specialist build to support this use case?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Specialist Implementation Guide and Agent Type Configuration Reference, this scenario represents a revenue-generating interaction where the AI agent is directly handling an upsell process. The tasks include verifying the customer's entitlement, generating a new quote, and calculating a prorated amount -- all of which align with the Sales Agent configuration type in AgentForce.
The Sales Agent is specifically designed to manage lead conversion, quoting, upselling, renewals, and escalation logic for higher-value opportunities. AgentForce documentation emphasizes that when an interaction involves quote generation, pricing calculations, or escalations to an Account Executive for large deal handling, the correct design is a Sales Agent.
NEW QUESTION # 61
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