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Microsoft AI-500 Exam Syllabus Topics:

SectionWeightObjectives
Architect multi-agent solutions15–20%- Design workflow and tool integration
  • 1. Incorporate human-in-the-loop oversight
    • 2. Plan tool ecosystems and permissions
      • 3. Apply responsible AI principles
        - Design logical architecture for multi-agent systems
        • 1. Specify autonomy levels and guardrails
          • 2. Design agent communication and handoff protocols
            • 3. Define agent patterns and roles
              Evaluate, optimize, and monitor multi-agent solutions20–25%- Assess performance and reliability
              • 1. Diagnose failures and bottlenecks
                • 2. Optimize latency and scalability
                  • 3. Define and measure success metrics
                    - Implement observability
                    • 1. Use Azure-native monitoring tools
                      • 2. Enable logging and tracing
                        • 3. Monitor agent interactions and outcomes
                          Secure, govern, and deploy multi-agent solutions20–25%- Apply security and compliance
                          • 1. Enforce data protection and privacy
                            • 2. Manage governance and audit requirements
                              • 3. Configure authentication and access control
                                - Deploy and maintain solutions
                                • 1. Manage lifecycle and retirement
                                  • 2. Implement versioning and update strategies
                                    • 3. Deploy agents to production environments
                                      Develop multi-agent solutions in Azure30–35%- Manage state and memory
                                      • 1. Configure short-term and long-term memory
                                        • 2. Use frameworks like Microsoft Agent Framework and MCP
                                          • 3. Handle multi-turn conversations
                                            - Implement agents using Azure AI services
                                            • 1. Orchestrate workflows with Azure AI Foundry
                                              • 2. Build agents with Azure AI Agent Service
                                                • 3. Integrate tools, plugins, and APIs

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