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Designing and Implementing Multi-Agent AI Solutions

Last Update 22 hours ago Total Questions : 73

The Designing and Implementing Multi-Agent AI Solutions content is now fully updated, with all current exam questions added 22 hours ago. Deciding to include AI-500 practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our AI-500 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these AI-500 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Designing and Implementing Multi-Agent AI Solutions practice test comfortably within the allotted time.

Question # 11

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 group chat workflows that include the three agents and a manager.

B.

Dequeue 10 requests per batch. Start 10 sequential workflows that include the three agents as ordered steps.

C.

Dequeue 10 requests per batch. Start 10 ConcurrentBuilder workflows that include the three agents as participants.

D.

Dequeue 30 requests per batch. Start a single ConcurrentBuilder workflow that includes 90 agent executors as participants.

Question # 12

You are designing Microsoft Foundry multi-agent solution. The agents will use Agent-to-Agent (A2A) delegation and access separate Azure Storage containers within a lesource group named RG1.

You need to recommend identity components for the design. The solution must meet the following requirements:

• Eliminate stored application secrets.

• Limit the impact of a compromised agent or deployment.

Solution: Use a shared single-tenant application registration for the agents Assign Azure roles at the subscription scope. Does this meet the goal?

A.

Yes

B.

No

Question # 13

You need to modify claim Approval to prevent the prompt injection issue. Which guardrail should you use?

A.

Task Adherence

B.

Prompt shields for documents

C.

Groundedness detection

D.

Prompt shields for user prompts

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