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Home - Lessons - Microsoft Power Platform Developer Associate Training - M6 — Dataverse Plug-ins and Custom Workflows - Plug-in pipeline stages

Microsoft Power Platform Developer Associate Training Plug-in pipeline stages

Microsoft Power Platform Developer Associate Training

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M1 — Power Platform Overview and PL-400 Scope

PL-400 skills measured

Environments and solutions

Admin centre essentials

Maker vs developer boundary

M2 — Power Apps Canvas Deep Dive

Formulas and components

Performance optimisation

Delegation warnings

Reusable components

M3 — Model-Driven Apps and Dataverse

Tables, columns and relationships

Business rules and BPFs

Forms and views

Security roles and field-level security

M4 — Power Automate Patterns

Cloud flows vs RPA

Approval flows and child flows

Error handling patterns

HTTP and custom connector triggers

M5 — Custom Connectors and APIs

OpenAPI definitions

Connector security and policies

Calling Azure Functions

OAuth 2.0 with Microsoft Entra ID

M6 — Dataverse Plug-ins and Custom Workflows

Plug-in pipeline stages

Custom workflow activities (.NET)

Transactions and rollback

M7 — PCF Code Components

React/TypeScript PCF

Field and dataset components

Solution packaging

Debugging and testing

M8 — ALM and Solutions

Managed vs unmanaged solutions

Environment strategies

Versioning and patching

Data export/import

M9 — CI/CD with Azure DevOps

Service connections and pipelines

Solution pack/unpack

Power Platform Build Tools

Automated testing with Test Studio

M10 — Integration with Azure and Microsoft 365

SharePoint integration patterns

Teams apps with Dataverse

Azure Functions and Logic Apps

Event-driven architecture

M11 — Security, Governance and Monitoring

Audit and analytics

Centre of Excellence Starter Kit

Capacity and licensing

M12 — Capstone and PL-400 Mocks

End-to-end solution build

ALM with Azure DevOps

PL-400 mapped mocks

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