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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Agents | 35% | - Agent architecture and reasoning engine - Agent User security and permissions - Deterministic controls: filters and variables - Topics and actions configuration - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack |
| Topic 2: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Unstructured data processing: chunking, indexing - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid |
| Topic 3: Prompt Engineering | 20% | - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt Builder usage and use cases - Prompt management and user roles |
| Topic 4: Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent API usage scenarios - Agent-to-agent communication |
| Topic 5: Development Lifecycle | 15% | - Version control and maintenance - Testing agents in Testing Center - Deployment: sandbox to production - Monitoring, adoption and optimization |
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NEW QUESTION # 210
Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Agentforce Agents. How should the Agentforce Specialist monitor Agents' usability and the assignment of actions?
Answer: C
Explanation:
Monitoring the usability and action assignments of Agentforce Agents requires insights into how agents perform, how users interact with them, and how actions are executed within conversations. Salesforce provides Agent Analytics (Option C) as a built-in capability specifically designed for this purpose. Agent Analytics offers dashboards and reports that track metrics such as agent response times, user satisfaction, action invocation frequency, and success rates. This tool allows the Agentforce Specialist to assess usability (e.g., are agents meeting user needs?) and monitor action assignments (e.g., which actions are triggered and how often), providing actionable data to optimize the pilot program.
NEW QUESTION # 211
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 # 212
An Agentforce is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform. What is the correct method for the Agentforce Specialist to assign actions to an Agent?
Answer: C
Explanation:
In the Salesforce Agentforce Platform, assigning actions to Agents requires mapping them through Topics in Agent Builder. Topics act as the container that links an Agent's conversational intent with the specific actions it can perform. By first assigning an action to a Topic in Agent Builder, the Agentforce Specialist ensures that the Agent knows when and how to trigger the action during the business process flow.
NEW QUESTION # 213
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?
Answer: B
Explanation:
UC has grounded a prompt template with a related list, but the responses are incorrect during UAT. Grounding with related lists in Agentforce allows the AI to access data from child records linked to a parent object.
NEW QUESTION # 214
A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
- Capture the customer's issue, troubleshooting steps taken, and next
actions.
- Be no longer than five sentences.
- Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state "No next action required." Which prompt template follows Salesforce prompt design best practices?
Answer: C
Explanation:
According to the Salesforce Prompt Builder Best Practices Guide, an effective prompt must include Role, Task, Context, Constraints, and Format clearly defined -- a structure known as the RTCCF model.
The documentation explains: "Prompts should specify the assistant's role, define a clear task, include context and constraints, and provide output format instructions to ensure predictable and high-quality responses."
NEW QUESTION # 215
......
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