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Microsoft AB-400 dumps - in .pdf

AB-400 pdf
  • Exam Code: AB-400
  • Exam Name: Extending Microsoft Power Platform Solutions with Code and AI
  • Updated: Oct 14, 2026
  • Q & A: 0 Questions and Answers
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  • Exam Code: AB-400
  • Exam Name: Extending Microsoft Power Platform Solutions with Code and AI
  • Updated: Oct 14, 2026
  • Q & A: 0 Questions and Answers
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  • Exam Code: AB-400
  • Exam Name: Extending Microsoft Power Platform Solutions with Code and AI
  • Updated: Oct 14, 2026
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Microsoft AB-400 Exam Syllabus Topics:

SectionWeightObjectives
Build Microsoft Power Platform solutions15-20%- Design solution components
  • 1. Design custom connectors and MCP servers
    • 2. Design Dataverse plug-ins and custom APIs
      • 3. Design Power Apps reusable components and code components
        • 4. Design automations, integrations, monitoring, and custom agents
          - Implement application lifecycle management (ALM)
          • 1. Create CI/CD automations using Power Platform Build Tools
            • 2. Create and use environment variables
              • 3. Manage solution dependencies and solution layers
                • 4. Implement and extend Power Platform Pipelines
                  - Design the technical architecture
                  • 1. Analyze technical architecture and select solution components
                    • 2. Select appropriate user experience, agent, and integration technologies
                      • 3. Design authentication and authorization
                        • 4. Determine appropriate Power Platform and Azure implementation approaches
                          Extend Microsoft Power Platform35-40%- Build Microsoft Foundry agents by using code that integrates with Microsoft Power Platform
                          • 1. Consume Copilot Studio agents using the Copilot Studio client library
                            • 2. Connect custom agents to Copilot Studio agents
                              • 3. Integrate custom agents using Power Platform MCP servers
                                • 4. Integrate custom agents with Dataverse data using Work IQ
                                  - Process workloads by using Microsoft Azure Functions
                                  • 1. Process long-running operations
                                    • 2. Authenticate to Power Platform using managed identities
                                      • 3. Implement scheduled and event-driven triggers
                                        - Perform operations by using platform APIs
                                        • 1. Optimize performance, concurrency, transactions, and bulk operations
                                          • 2. Perform asynchronous operations
                                            • 3. Use Dataverse SDKs for .NET and Python
                                              • 4. Use the Dataverse Web API and Organization service
                                                • 5. Implement API limit retry policies
                                                  • 6. Implement and troubleshoot OAuth authentication
                                                    - Configure Power Automate cloud flows and Copilot Studio workflows
                                                    • 1. Implement complex expressions
                                                      • 2. Implement flow control and error handling
                                                        • 3. Authenticate Dataverse connections using service principals
                                                          • 4. Develop reusable logic using child flows
                                                            • 5. Configure trigger filters and retry policies
                                                              - Create a Dataverse plug-in
                                                              • 1. Optimize plug-in performance
                                                                • 2. Perform operations using the Organization service
                                                                  • 3. Implement business logic and images
                                                                    • 4. Use event execution pipeline stages and execution context
                                                                      • 5. Configure Dataverse business events and managed identity
                                                                        • 6. Configure and develop Dataverse custom APIs
                                                                          • 7. Register plug-in components using the Plug-in Registration Tool
                                                                            Develop integrations10-15%- Implement synchronization for Dataverse data
                                                                            • 1. Synchronize data using the UpsertRequest message
                                                                              • 2. Develop code using alternate keys
                                                                                • 3. Perform data synchronization using change tracking
                                                                                  - Publish and consume Dataverse events
                                                                                  • 1. Publish Dataverse events using the Plug-in Registration Tool
                                                                                    • 2. Recommend options for listening to Dataverse events
                                                                                      • 3. Register webhooks, Azure Service Bus, and Azure Event Hub service endpoints
                                                                                        • 4. Publish Dataverse events using IServiceEndpointNotificationService
                                                                                          - Create custom connectors
                                                                                          • 1. Configure policy templates
                                                                                            • 2. Extend OpenAPI definitions and transform connector data
                                                                                              • 3. Import definitions from OpenAPI, Azure services, and GitHub
                                                                                                • 4. Develop Azure Functions for custom connectors
                                                                                                  • 5. Create custom connectors for Azure services
                                                                                                    • 6. Implement authentication for custom connectors
                                                                                                      Extend the user experience25-30%- Create PCF code components
                                                                                                      • 1. Implement component interfaces
                                                                                                        • 2. Package, deploy, and consume components
                                                                                                          • 3. Configure a code component manifest
                                                                                                            • 4. Use component lifecycle events
                                                                                                              • 5. Use Device, Utility, and Web API features
                                                                                                                - Deploy and manage Power Apps code apps
                                                                                                                • 1. Troubleshoot and optimize code apps
                                                                                                                  • 2. Configure Content Security Policy settings
                                                                                                                    • 3. Package, deploy, and share code apps
                                                                                                                      • 4. Implement monitoring with Azure Application Insights
                                                                                                                        - Apply business logic in model-driven apps by using client scripting
                                                                                                                        • 1. Build code targeting the Client API object model
                                                                                                                          • 2. Configure event handlers, commands, buttons, navigation, dialogs, and notifications
                                                                                                                            • 3. Use the Dataverse Web API with client scripting
                                                                                                                              • 4. Configure commands and buttons using Power Fx and JavaScript
                                                                                                                                - Build Power Apps code apps
                                                                                                                                • 1. Configure Power Platform connections
                                                                                                                                  • 2. Use Power Automate cloud flows and Copilot Studio agents
                                                                                                                                    • 3. Work with Dataverse tables and metadata
                                                                                                                                      • 4. Perform Dataverse actions and functions
                                                                                                                                        • 5. Use environment variables

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