You have a Microsoft Agent Framework workflow processor that receives customer support requests from a queue. Each request is evaluated by three independent Microsoft Foundry agents.
You discover that the current processor dequeues 30 requests at a time and starts all agent runs immediately.
During peak load, as many as 90 agent runs execute simultaneously, and the downstream API receives partial participant messages.
A single agent run completes in five seconds at the 95th percentile (95p), and the target throughput is 120 requests per minute.
You need to change the orchestration to ensure that it meets the throughput target and prevents more than 30 agent runs from executing simultaneously. The solution must produce one consolidated downstream payload for each request.
What should you do?

• A. Dequeue 10 requests per batch. Start 10 sequential workflows that include the three agents as ordered steps.
• B. Dequeue 10 requests per batch. Start 10 group chat workflows that include the three agents and a manager.
• C. Dequeue 30 requests per batch. Start a single ConcurrentBuilder workflow that includes 90 agent executors as participants.
• D. Dequeue 10 requests per batch. Start 10 ConcurrentBuilder workflows that include the three agents as participants.

You have a Microsoft Foundry project that contains an incident triage agent.
You have a Model Context Protocol (MCP) server registered in the organizational tool catalog. The MCP server exposes two tools named docs_search and deployment_delete.
You need to ensure that the agent can only invoke docs_search.
What should you configure?

• A. the agent run configuration
• B. the project details
• C. the agent instructions
• D. the agent tool configuration

You have a Microsoft Foundry project that contains a multi-agent customer support solution. The solution includes a final response agent.
You need to provide reviewers with the ability to assess agent responses in the preview web app and record a completion score for each agent response. The solution must follow the principle of least privilege.
Which roles should you assign to the reviewers?

• A. only Foundry Project Manager on the project
• B. only Application Insights Reader on the Foundry account
• C. Foundry User on the project and Reader on the Foundry account
• D. only Foundry User on the project

You have a Microsoft Foundry agent that answers questions about products. You evaluate the agent responses and discover the following issues:
* Questions about a product named product1 make up 40 percent of user traffic, and responses are returned in inconsistent formats.
* Questions about a product named product2 appear infrequently in the existing logs but have high escalation rates.
The available chat logs include customer names and contact details, and the labeling budget enables subject matter experts (SMEs) to review only a limited subset of training examples.
You need to design a dataset preparation plan to fine-tune the agent. The solution must meet the following requirements:
* Match usage patterns for the product1 questions.
* Cover the product2 questions.
* Meet General Data Protection Regulation < GDPR) and Health Insurance Portability and Accountability Act (HIPAA) privacy requirements for names and contact details.
* Minimize SME review efforts during labeling.
What should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.