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Microsoft AI-500 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate, optimize, and monitor multi-agent solutions | 20–25% | - Implement observability
|
| Topic 2: Secure, govern, and deploy multi-agent solutions | 20–25% | - Apply security and compliance
|
| Topic 3: Develop multi-agent solutions in Azure | 30–35% | - Manage state and memory
|
| Topic 4: Architect multi-agent solutions | 15–20% | - Design workflow and tool integration
|
Microsoft Designing and Implementing Multi-Agent AI Solutions Sample Questions:
Question #1
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?
A. Azure Container Instances
B. Microsoft Foundry Agent Service
C. Azure Kubernetes Service (AKS)
D. GPU-enabled Azure virtual machines
Question #2
You need to define a strategy to meet the business requirements for emergency room visits.
Which workflow node should you add to the Lead Orchestrator workflow?
A. Go to
B. Ask a question
C. Deliver a message
D. Agent
Question #3
You need to recommend a knowledge integration design for a Microsoft Foundry multi-agent solution. The agents answer questions by using shared documentation. The solution must meet the following requirements:
* Updates must be available from a single maintained knowledge layer.
* Retrieval responses must include citations and query details
* Content must support natural-language queries.
Users will ask the agents complex conversational questions. The questions will include follow-up context and terminology that does NOT always match the wording in the documentation.
Which knowledge type should you recommend?
A. WorklQ
B. Fabric IQ (OneLake Catalog)
C. File
D. Azure Al Search Index
Question #4
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 resource 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 delegated user permissions for agent actions. Assign Azure roles by using a shared security group. Does this meet the goal?
A. No
B. Yes
Question #5
You have a Microsoft Foundry Agent Service solution that includes two agents.
You need to configure memory for the agents. The solution must meet the following requirements:
* Isolate the memory between end users
* Isolate the memory between the agent domains.
* Support the deletion of one user ' s memory without deleting other users ' memory.
Solution: You create a dedicated memory store for each agent and configure a static agent scope value for each memory search tool.
Does this meet the goal?
A. No
B. Yes
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: D | Question #4 Correct Answer: A | Question #5 Correct Answer: A |


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