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Microsoft

Validate your Power Platform Functional Consultant skills

Microsoft via Microsoft Learn

Overview

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  • Explore secure data management with Dataverse, learning how to create tables and import data into a cloud-based storage system.

    This module explains how to:

    • Create tables with Dataverse
    • Import data into a Dataverse database
  • Model-driven app design is an approach that focuses on quickly adding components to your apps. These components include dashboards, forms, views, and charts. With little to no code, you can make apps that are simple or complex. Unlike in canvas app development, where the designer has total control over the app layout, much of the layout in model-driven apps is determined by the components you add. In other words, the emphasis is more on quickly viewing your business data and making decisions than on intricate app design.

    This module explains these concepts:

    • Model-driven app design
    • Creating a model-driven app
  • Learn how Power Apps can make your business more efficient and streamline your processes.

    This module explains how to:

    • Explore how Power Apps can make your business more efficient.
    • Use different technologies to perform different tasks in Power Apps.
    • Build an app in Power Apps in different ways.
    • Create your first app from data in an Excel workbook.
  • Learn how to create simple flows to make your life easier.

    In this module, you will:

    • Create a flow that automatically saves email attachments.
    • Learn how to create a button flow to send yourself a reminder.
  • Configure your own Power Platform model-driven application, canvas application, and Power Automate cloud flow to support a scenario for a fictional company. You're provided with high-level specifications on the company's applications and automation requirements to complete this project. [!NOTE] This is a Challenge Project module where you complete an end-to-end project using high-level guidance; there are no step-by-step instructions.

    In this module, you demonstrate your ability to:

    • Evaluate requirements

    • Perform gap analysis of existing assets.

    • Create needed assets from the stated requirements.

    • Compose apps and automation.

Syllabus

  • Create tables in Dataverse
    • Introduction to Microsoft Dataverse
    • Table characteristics
    • Exercise - Create a Microsoft Dataverse table
    • Exercise - Import data into your Microsoft Dataverse database
    • Table relationships
    • Exercise - Create table relationships
    • Dataverse logic and security
    • Exercise - Create a custom table and import data
    • Dataverse auditing
    • Dual-write vs. virtual tables
    • Check your knowledge
    • Summary
  • Get started with model-driven apps in Power Apps
    • Introducing model-driven apps
    • Components of model-driven apps
    • Design model-driven apps
    • Exercise
    • Exercise - Control security when sharing model-driven apps
    • Incorporate business process flows
    • Exercise - Create a model-driven app
    • Module assessment
    • Summary
  • Get started with Power Apps canvas apps
    • Introduction to Power Apps
    • Start Power Apps
    • Exercise - Create your first app in Power Apps
    • Power Apps data sources
    • Exercise - Create an app from Excel using Copilot
    • Use Power Apps with Power Automate and Power BI
    • Designing a Power Apps app
    • Check your knowledge
    • Summary
  • Get started with Power Automate
    • Introducing Power Automate
    • Create your first flow
    • Exercise - Create recurring flows
    • Exercise - Monitor incoming emails
    • Exercise - Share flows
    • Troubleshoot flows
    • Module assessment
    • Summary
  • Challenge project - Build applications and automation solutions
    • Introduction
    • Prepare
    • Exercise - Create Microsoft Dataverse tables, columns, and additional assets
    • Exercise - Compose a model-driven app
    • Exercise - Build a canvas app
    • Exercise - Automate with a cloud flow
    • Module assessment
    • Summary

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