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Training course for Microsoft AZ-204
Introduction
Course Overview
Training Contents
Training Contents 2022
Training Contents 2024
Exam certification
Microsoft Applied Skills
Trainer demonstrations
Trainer References
Applied Workshop
Licensing & Pricing
Hands-on Labs
Samples
Resources
Microsoft customer stories
About the Trainer
Companion Material and Resources for Class Delivery by Ricardo Cabral for Microsoft Course PL-200
Course outline January 2024
Training content for January 2024
Table of contents
Learning Path
Module
Practice Lab
Learning Path 1: Work with Microsoft Dataverse
-
Module 1: What is a relational database?
-
Module 2: Introduction to Microsoft Dataverse
-
Module 3: Manage environments
-
Module 4: Manage customizations with solutions
-
Module 5: Create and manage tables in Microsoft Dataverse
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Module 6: Create and manage columns in Microsoft Dataverse
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Module 7: Create relationships between tables in Microsoft Dataverse
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Module 8: Create and define calculated and rollup columns in Microsoft Dataverse
-
Lab 0: Validate lab environment
-
Lab 1.1: Environments
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Lab 1.2: Publisher and Solution
-
Lab 1.3: Import solution
-
Lab 1.4: Tables
-
Lab 1.5: Columns
-
Lab 1.6: Relationships
Learning Path 2: Manage Microsoft Dataverse
-
Module 1: Load/export data in Microsoft Dataverse
-
Module 2: Manage security in Microsoft Dataverse
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Module 3: Administration options in Microsoft Dataverse
-
Lab 2.1: Security roles
-
Lab 2.2: Users and Teams
Learning Path 3: Create model-driven apps
-
Module 1: Introduction to model-driven apps
-
Module 2: Design and create model-driven apps
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Module 3: Configure forms
-
Module 4: Configure views
-
Module 5: Configure charts
-
Module 6: Configure dashboards
-
Module 7: Embedding canvas apps in model-driven apps
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Module 8: Configure custom pages
-
Module 9: Customize the command bar
-
Lab 3.1: Forms
-
Lab 3.2: Views
-
Lab 3.3: Command bar
Learning Path 4: Create canvas apps
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Module 1: Introduction to canvas apps
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Module 2: Customize a canvas app
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Module 3: Navigation in a canvas app
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Module 4: Power Fx formulas and variables
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Module 5: Error handling
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Module 6: Connect to other data in canvas apps
-
Module 7: Describe Power Apps cards
-
Lab 4.1: Enhance a canvas app
-
Lab 4.2: Create a custom page
Learning Path 5: Make portals in Power Pages
-
Module 1: Introduction to Power Pages
-
Module 2: Pages, forms, and navigation
-
Module 3: Explore design studio
- Module 4: Advanced Power Pages features:
*
Integrate Power Pages websites with Dataverse
*
Integrate Power Pages with web-based technologies
- Module 5: Power Pages website security:
*
Explore Power Pages design studio data and security features
*
PL-200 Set up Power Pages security
-
Module 6: Power Pages authentication
-
Lab 5.1: Build a Power Pages portal
Learning Path 6: Build automation with Power Automate
-
Module 1: Introduction to automation in Dataverse
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Module 2: Introduction to Power Automate
-
Module 3: Create Power Automate cloud flows
-
Module 4: Use Dataverse triggers and actions in Power Automate cloud flows
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Module 5: Introduction to expressions in Power Automate
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Module 6: Test and troubleshoot Power Automate cloud flows
-
Module 7: Administer Power Automate cloud flows
-
Lab 6.1: Cloud flows
Learning Path 7: Logic and process automation
-
Module 1: Define and create business rules
- Module 2: Create business process flows:
*
Introduction to business process flows in Power Automate
*
Advanced concepts to improve business process flows in Power Automate
-
Module 3: Configure Dataverse classic workflows
- Module 4: Write and use Power Fx functions and formulas:
*
Microsoft Power Fx overview
*
Using Power Fx with commands
- Module 5: Describe how to use Dataverse actions directly from Power Fx:
*
Call Dataverse actions directly in Power Fx
*
Add the Power Fx Environment language object to your app
- Module 6: Configure low-code plug-ins:
*
Set up low-code plug-ins
*
Use common low-code plug-in scenarios
-
Lab 7.1: Implement low-code logic
Learning Path 8: Visualize data with Power BI
- Module 1: Microsoft Dataverse reporting options:
*
Reporting overview for model-driven apps
*
Add reporting features to your model-driven app
*
Model-driven app reporting capabilities and considerations
-
Module 2: Get started with Power BI
-
Module 3: Use Power BI with Microsoft Power Platform
-
Dashboards (Optional)
Learning Path 9: Application Lifecycle Management
-
Module 1: Introduction to solutions for Microsoft Power Platform
*
Plan application lifecycle management for Power Platform
-
Module 2: Import and export Dataverse solutions
-Module 3: Dataverse Tools to support solution:
*
Microsoft Power Platform CLI
*
Configuration Migration tool
*
Community tools for Microsoft Dataverse
- No hands-on labs.
Learning Path 10: Manage interoperability with other services
-
Module 1: Configure email integration
-
Module 2: Configure document management
-
Module 3: Work with Microsoft Word templates
- No hands-on labs.