Cert Prep: Power Platform Developer Associate (PL-400)

Cert Prep: Power Platform Developer Associate (PL-400)

2h 46mIntermediate2023-10-19

Authors

Keith Atherton

Keith Atherton

Microsoft Certified Software Developer, Speaker, Instructor

Course details

Power Platform is Microsoft's low-code/no-code platform that allows makers to create business solutions. Power Platform includes Power Apps, Power BI, and Power Automate. This course provides an overview of the exam topics and technologies one needs to be familiar with before sitting for the Power Platform Developer (PL-400) exam, which is the required exam for those looking to earn their Microsoft Power Platform Developer Associate certification.

Join instructor Keith Atherton as he covers the topics you need to know to pass the exam, including: creating a technical design; configuring Microsoft Dataverse; creating and configuring Power Apps; extending the user experience; extending the platform; and developing integrations.

Skills covered

Power PlatformMicrosoft DevelopmentBusiness IntelligenceCert PrepData ScienceBusiness Analysis and StrategyMicrosoftSoftware Development

Concepts

Introduction

  • Power up for success - PL-400 Power Platform Developer Exam overview
  • What you should know

Create a Technical Design

  • Design technical architecture
  • Design solution components

Configure Microsoft Dataverse

  • Configure Microsoft Power Platform to support development
  • Configure tables
  • Implement application lifecycle management (ALM)

Create and Configure Power Apps

  • Create model-driven apps
  • Create canvas apps
  • Manage and troubleshoot apps

Extend the User Experience

  • Apply business logic using client scripting
  • Create a Power Apps component framework (PCF) code component

Extend the Platform

  • Create a Dataverse plug-in
  • Create custom connectors
  • Use platform APIs
  • Process workloads by using Azure Functions
  • Configure Power Automate cloud flows - Objectives 1-3
  • Configure Power Automate cloud flows - Objectives 4-8

Develop Integrations

  • Publish and consume Dataverse events
  • Implement data synchronization with Dataverse

Conclusion

  • Additional resources
  • Next steps
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