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Microsoft AB-400 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Build Microsoft Power Platform solutions | 15-20% | - Implement application lifecycle management (ALM)
- 1. Implement and extend Power Platform Pipelines
- 2. Create CI/CD automations using Power Platform Build Tools
- 3. Manage solution dependencies and solution layers
- 4. Create and use environment variables
- Design the technical architecture
- 1. Design authentication and authorization
- 2. Determine appropriate Power Platform and Azure implementation approaches
- 3. Analyze technical architecture and select solution components
- 4. Select appropriate user experience, agent, and integration technologies
- Design solution components
- 1. Design custom connectors and MCP servers
- 2. Design automations, integrations, monitoring, and custom agents
- 3. Design Dataverse plug-ins and custom APIs
- 4. Design Power Apps reusable components and code components
|
| Develop integrations | 10-15% | - Implement synchronization for Dataverse data
- 1. Perform data synchronization using change tracking
- 2. Synchronize data using the UpsertRequest message
- 3. Develop code using alternate keys
- Create custom connectors
- 1. Develop Azure Functions for custom connectors
- 2. Create custom connectors for Azure services
- 3. Import definitions from OpenAPI, Azure services, and GitHub
- 4. Extend OpenAPI definitions and transform connector data
- 5. Configure policy templates
- 6. Implement authentication for custom connectors
- Publish and consume Dataverse events
- 1. Publish Dataverse events using IServiceEndpointNotificationService
- 2. Recommend options for listening to Dataverse events
- 3. Publish Dataverse events using the Plug-in Registration Tool
- 4. Register webhooks, Azure Service Bus, and Azure Event Hub service endpoints
|
| Extend the user experience | 25-30% | - Build Power Apps code apps
- 1. Use Power Automate cloud flows and Copilot Studio agents
- 2. Work with Dataverse tables and metadata
- 3. Perform Dataverse actions and functions
- 4. Configure Power Platform connections
- 5. Use environment variables
- Create PCF code components
- 1. Use component lifecycle events
- 2. Implement component interfaces
- 3. Configure a code component manifest
- 4. Use Device, Utility, and Web API features
- 5. Package, deploy, and consume components
- Apply business logic in model-driven apps by using client scripting
- 1. Build code targeting the Client API object model
- 2. Configure commands and buttons using Power Fx and JavaScript
- 3. Configure event handlers, commands, buttons, navigation, dialogs, and notifications
- 4. Use the Dataverse Web API with client scripting
- Deploy and manage Power Apps code apps
- 1. Configure Content Security Policy settings
- 2. Package, deploy, and share code apps
- 3. Implement monitoring with Azure Application Insights
- 4. Troubleshoot and optimize code apps
|
| Extend Microsoft Power Platform | 35-40% | - Build Microsoft Foundry agents by using code that integrates with Microsoft Power Platform
- 1. Connect custom agents to Copilot Studio agents
- 2. Integrate custom agents using Power Platform MCP servers
- 3. Integrate custom agents with Dataverse data using Work IQ
- 4. Consume Copilot Studio agents using the Copilot Studio client library
- Perform operations by using platform APIs
- 1. Implement and troubleshoot OAuth authentication
- 2. Optimize performance, concurrency, transactions, and bulk operations
- 3. Use the Dataverse Web API and Organization service
- 4. Use Dataverse SDKs for .NET and Python
- 5. Perform asynchronous operations
- 6. Implement API limit retry policies
- Configure Power Automate cloud flows and Copilot Studio workflows
- 1. Implement flow control and error handling
- 2. Authenticate Dataverse connections using service principals
- 3. Implement complex expressions
- 4. Develop reusable logic using child flows
- 5. Configure trigger filters and retry policies
- Create a Dataverse plug-in
- 1. Implement business logic and images
- 2. Register plug-in components using the Plug-in Registration Tool
- 3. Configure and develop Dataverse custom APIs
- 4. Use event execution pipeline stages and execution context
- 5. Configure Dataverse business events and managed identity
- 6. Perform operations using the Organization service
- 7. Optimize plug-in performance
- Process workloads by using Microsoft Azure Functions
- 1. Authenticate to Power Platform using managed identities
- 2. Implement scheduled and event-driven triggers
- 3. Process long-running operations
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