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Chapter 1: Create a technical design -Design technical architecture-Design the technical architecture for a solution
Chapter 2: Create a technical design -Design technical architecture-Design the authentication and authorization strategy
Chapter 3: Create a technical design -Design technical architecture-Determine whether requirements can be met with out-of-the-box functionality
Chapter 4: Create a technical design -Design technical architecture-Determine where to run business logic including cloud computing, client-side processing, business rules, plug-ins, and Power Automate
Chapter 5: Create a technical design -Design technical architecture-Determine when to use standard tables, virtual tables, elastic tables, or connectors
Chapter 6: Create a technical design - (DLP) policies, security roles, teams, business units, and row sharing on your business solution
Chapter 7: Create a technical design -Design solution components-Design Power Apps reusable components including canvas components, code components, and client scripting
Chapter 9: Create a technical design -Design solution components-Design Dataverse code components including plug-ins and Custom APIs
Chapter 10: Create a technical design -Design solution components-Design automations including Power Automate cloud flows
Chapter 11: Create a technical design -Design solution components-Design inbound and outbound integrations using Dataverse and Azure
Chapter 12: Build Power Platform solutions -Configure and troubleshoot Microsoft Power Platform-Troubleshoot operational security issues found in testing
Chapter 13: Build Power Platform solutions -Configure and troubleshoot Microsoft Power Platform-Configure Dataverse security roles to support code components
Chapter 14: Build Power Platform solutions -Configure and troubleshoot Microsoft Power Platform-Manage Microsoft Power Platform environments for development
Chapter 15: Build Power Platform solutions -Implement application lifecycle management (ALM)-Manage solution dependencies
Chapter 17: Build Power Platform solutions -Implement application lifecycle management (ALM)-Determine when to use unmanaged and managed solutions
Chapter 18: Build Power Platform solutions -Implement application lifecycle management (ALM)-Manage solution layers
Chapter 19: Implement Power Apps improvements -Implement advanced canvas apps features-Implement complex Power Fx formulas
Chapter 20: Implement Power Apps improvements -Implement advanced canvas apps features-Build reusable component libraries
Chapter 21: Implement Power Apps improvements -Implement advanced canvas apps features-Utilize Power Automate cloud flows to implement business logic from a canvas app
Chapter 22: Implement Power Apps improvements -Optimize and troubleshoot apps-Troubleshoot canvas and model-driven app issues by using Monitor and other browser-based debugging tools
Chapter 23: Implement Power Apps improvements -Optimize and troubleshoot apps-Optimize canvas app performance including pre-loading data and query delegation
Chapter 24: Implement Power Apps improvements -Optimize and troubleshoot apps-Optimize model-driven app performance including forms and views
Chapter 25: Extend the user experience -Apply business logic in model-driven apps using client scripting-Build JavaScript code that targets the Client API object model
Chapter 26: Extend the user experience -Apply business logic in model-driven apps using client scripting-Determine event handler registration approach
Chapter 27: Extend the user experience -Apply business logic in model-driven apps using client scripting-Create client scripting that targets the Dataverse Web API
Chapter 28: Extend the user experience -Apply business logic in model-driven apps using client scripting-Configure commands and buttons using Power Fx and JavaScript
Chapter 29: Extend the user experience -Create a Power Apps component framework (PCF) code component-Demonstrate the use of the different code component lifecycle events
Chapter 30: Extend the user experience -Create a Power Apps component framework (PCF) code component-Initialize a new code component
Chapter 33: Extend the user experience -Create a Power Apps component framework (PCF) code component-Package, deploy, and consume a component
Chapter 34: Extend the user experience -Create a Power Apps component framework (PCF) code component-Configure and use Device, Utility, and Web API features in component logic
Chapter 35: Extend the platform -Create a Dataverse plug-in-Demonstrate the use of the different event execution pipeline stages
Chapter 37: Extend the platform -Create a Dataverse plug-in-Develop a plug-in that implements business logic
Chapter 39: Extend the platform -Create a Dataverse plug-in-Perform operations in plug-ins by using the Organization service
Chapter 41: Extend the platform -Create a Dataverse plug-in-Configure a Dataverse custom API message
Chapter 42: Extend the platform -Create a Dataverse plug-in-Register plug-in components by using the Plug-in Registration Tool
Chapter 44: Extend the platform -Create a Dataverse plug-in-Configure Dataverse business events
Chapter 45: Extend the platform -Create custom connectors-Create an Open API definition for an existing REST API
Chapter 46: Extend the platform -Create custom connectors-Implement authentication for custom connectors
Chapter 47: Extend the platform -Create custom connectors-Configure policy templates to modify connector behavior at runtime
Chapter 48: Extend the platform -Create custom connectors-Import definitions from existing APIs including Open API definitions, Azure services, and GitHub
Chapter 49: Extend the platform -Create custom connectors-Create a custom connector for an Azure service
Chapter 50: Extend the platform -Create custom connectors-Develop an Azure Function to be used in a custom connector
Chapter 51: Extend the platform -Create custom connectors-Extend the Open API definition for a custom connector
Chapter 52: Extend the platform -Create custom connectors-Develop code for a custom connector to transform data
Chapter 53: Extend the platform -Use platform APIs-Perform operations with the Dataverse Web API
Chapter 54: Extend the platform -Use platform APIs-Perform operations with the Organization service
Chapter 55: Extend the platform -Use platform APIs-Implement API limit retry policies
Chapter 56: Extend the platform -Use platform APIs-Optimize for performance, concurrency, transactions, and bulk operations
Chapter 57: Extend the platform -Use platform APIs-Perform authentication by using OAuth
Chapter 58: Extend the platform -Process workloads by using Azure Functions-Process long-running operations by using Azure Functions
Chapter 59: Extend the platform -Process workloads by using Azure Functions-Configure scheduled and event-driven triggers in Azure Functions
Chapter 61: Extend the platform -Configure Power Automate cloud flows-Implement flow steps to use Dataverse connector actions and triggers
Chapter 62: Extend the platform -Configure Power Automate cloud flows-Implement complex expressions in flow steps
Chapter 63: Extend the platform -Configure Power Automate cloud flows-Manage sensitive input and output parameters
Chapter 64: Extend the platform -Configure Power Automate cloud flows-Implement Azure Key Vault and Microsoft Entra ID service principals
Chapter 65: Extend the platform -Configure Power Automate cloud flows-Implement flow control actions including error handling
Chapter 66: Extend the platform -Configure Power Automate cloud flows-Configure trigger filter and retry policies
Chapter 67: Extend the platform -Configure Power Automate cloud flows-Develop reuseable logic by using child flows
Chapter 69: Develop integrations -Publish and consume Dataverse events-Publish a Dataverse event by using the Plug-in Registration Tool
Chapter 70: Develop integrations -Publish and consume Dataverse events-Register service endpoints including webhooks, Azure Service Bus, and Azure Event Hub
Chapter 71: Develop integrations -Publish and consume Dataverse events-Recommend options for listening to Dataverse events
Chapter 72: Develop integrations -Implement data synchronization with Dataverse-Perform data synchronization by using change tracking
Chapter 73: Develop integrations -Implement data synchronization with Dataverse-Develop code that utilizes alternate keys
Chapter 74: Develop integrations -Implement data synchronization with Dataverse-Utilize the UpsertRequest message to synchronize data

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