- In this module, you explore Microsoft Dataverse as the intelligent data platform at the core of Microsoft Power Platform. You learn how Dataverse differs from traditional databases, how to work with its structural components, how to implement business logic, and how to use Copilot to build data models through natural language. PL-900
In this module, you learn how to:
Explain the core capabilities and business value of Microsoft Dataverse as a data platform for Power Platform solutions.
Identify and work with the structural components of Dataverse, including tables, columns, rows, and relationships.
Choose the right business logic approach—business rules, Power Fx, or Power Automate—for common data scenarios.
Describe how forms and views support data entry and data display in model-driven apps.
Use Copilot to create and refine Dataverse tables using natural language prompts.
- This module explores Microsoft Power Platform's governance and administration capabilities, including environments, the security model, data privacy and accessibility guidelines, monitoring and analytics, and application lifecycle management with Power Platform Pipelines. PL-900
In this module, you learn how to:
Describe Power Platform environments and the role they play in organizing and governing resources.
Describe the Microsoft Power Platform security model.
Describe how Microsoft Power Platform supports data privacy and accessibility guidelines.
Describe the monitoring and analytics capabilities of the Microsoft Power Platform.
Describe application lifecycle management with Power Platform Pipelines.
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Syllabus
- Describe Microsoft Dataverse
- Introduction
- Describe differences between traditional databases and Dataverse
- Describe tables, columns, and relationships in Dataverse
- Describe the options for business logic in Dataverse
- Describe table forms and views
- Create and edit tables, columns, and relationships through conversations
- Describe Power Fx
- Module assessment
- Summary and resources
- Describe Power Platform governance and administration
- Introduction
- Describe Power Platform environments
- Describe the Microsoft Power Platform security model
- Describe how Microsoft Power Platform supports data privacy and accessibility guidelines
- Describe the monitoring and analytics capabilities of the Microsoft Power Platform
- Describe application lifecycle management with Power Platform Pipelines
- Module assessment
- Summary