Introduction
When you extend a Microsoft Power Platform solution, you choose from a wide range of extensibility options: plugins, custom APIs, custom connectors, Model Context Protocol (MCP) servers, cloud flows, agent flows, code components, and more. Each option solves a different kind of problem, and the wrong choice for a given requirement creates a solution that's brittle, hard to maintain, or exposed to unnecessary security risk.
Suppose your organization builds a custom equipment-provisioning solution in Microsoft Dataverse. Employees request replacement laptops, monitors, and other peripherals. The solution validates each request against a refresh allowance, checks device availability through an external depot system, and lets a coordinator track approval and fulfillment from start to finish.
Four Dataverse tables anchor the solution: Employee, Device, Request, and Allowance. This is a custom solution, not an out-of-the-box application, so you evaluate component-level extensibility options within the organization's approved solution architecture. As a developer, you select and specify implementable approaches and identify organization-level constraints that need an owner's decision.
In this module, you explore how to design reusable Power Apps components such as generative pages, code components, and client scripting. You also explore Dataverse code components like plug-ins and custom APIs, custom connectors and MCP servers, and integrations between Dataverse and Azure.
You then learn how to design automations such as cloud flows and Copilot Studio workflows, and custom interfaces built with Power Apps code apps. You also learn to design custom agents that integrate with Power Platform, and the monitoring and alerting that keeps every component reliable after it's in production.
By the end of this module, you're able to evaluate a Power Platform solution requirement and select, justify, and design the extensibility component that best balances maintainability, security, and performance.