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Question 27: AI-500: Designing and Implementing Multi-Agent AI Solutions

You are designing a multitenant software as a service (SaaS) platform that uses multiple agents. Users will send latency-sensitive inference requests to the platform by using a shared API.Initially, there will be 20 tenants, and the platform will expand to 200 tenants. You need to identify the compute component for a…

Nội dung câu hỏi

You are designing a multitenant software as a service (SaaS) platform that uses multiple agents. Users will send latency-sensitive inference requests to the platform by using a shared API.Initially, there will be 20 tenants, and the platform will expand to 200 tenants. You need to identify the compute component for a production agent runtime. The solution must meet the following requirements:Isolate workloads for each tenant by using containerization. Dynamically scale based on demand. Minimize administrative effort. What should you use?

Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Azure Container Instances
  2. B. Azure Kubernetes Service (AKS)
  3. C. Microsoft Foundry Agent Service — đáp án hiện tại
  4. D. GPU-enabled Azure virtual machines
Giải thích

Answer researched independently against supporting documentation; not a published source answer key. Foundry Agent Service provides managed containerized production compute and scaling, minimizing runtime administration. References: https://learn.microsoft.com/en-us/azure/ai-foundry/agents/concepts/hosted-agents

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