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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt Builder usage
|
| Topic 2: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Topic 3: AI Agents | 35% | - Agent behavior configuration
|
| Topic 4: Governance & Observability | 10% | - AI governance
|
| Topic 5: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
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NEW QUESTION # 76
An agent must decide whether to resolve a Case automatically or escalate it to a human. Which design principle BEST supports this behavior?
Answer: B
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 # 77
The Agentforce Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should the Agentforce Specialist take upon modifying the masked fields?
Answer: B
Explanation:
After modifying masked fields in Einstein's Trust Layer, the next important step is to test and confirm that the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
NEW QUESTION # 78
Universal Containers (UC) needs to capture and store detailed interaction data for all agents.
Which feature should help UC get a full view of the agent's behavior from start to finish, including reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses?
Answer: B
Explanation:
The AgentForce Observability and Diagnostics Guide details that AgentForce Session Tracing provides the most comprehensive visibility into agent operations. The documentation explains:
"Session Tracing captures the entire execution flow for each agent session - including reasoning engine decisions, executed actions, prompts, gateway inputs and outputs, error logs, and final agent responses - to provide an end-to-end view of agent behavior."
NEW QUESTION # 79
An Agentforce Specialist created a Field Generation prompt template. What should the Agentforce Specialist do to expose the template to the user?
Answer: A
Explanation:
The Field Generation prompt template type is specifically designed to enable generative AI within the context of a Salesforce record field. To expose this functionality to an end-user, the Agentforce Specialist must associate the template with the form field on the Lightning page (B).
This is accomplished using the Lightning App Builder:
The Agentforce Specialist first creates a custom field (often a Long Text Area or Rich Text Area) on the desired object to store the AI-generated output.
In the Lightning App Builder for the object's Record Page, the Specialist selects the field component.
In the properties panel for that field component, there is a setting (often a dropdown) to select an active Field Generation Prompt Template.
Once associated, an Einstein icon (or "Generate" button) appears next to the field on the record page, allowing the user to click it to run the prompt, review the AI-generated content, and then decide to use it to populate the field.
NEW QUESTION # 80
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?
Answer: C
Explanation:
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.
NEW QUESTION # 81
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