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Configure Dynamics 365 customer experience model-driven apps

With model-driven apps, organizations can customize their user experiences with little to no code and create powerful applications that empower their users and increase productivity. This course is...

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$675 USD
Course Code MB-280T01
Duration 1 day
Available Formats Classroom

With model-driven apps, organizations can customize their user experiences with little to no code and create powerful applications that empower their users and increase productivity. This course is designed to help students learn the skills necessary to configure the Dynamics 365 customer experience model-driven apps, which include Dynamics 365 Sales and Dynamics 365 Customer Insights.   In this course, students will learn how to create tables and columns, work with Microsoft Dataverse, and configure the user experience inside a model-driven application. This course is part of a four-course series (MB-280T01-T04) aligning to the MB-280 certification exam.

Audience Profile

This course is designed for IT or marketing professionals who want to learn how to leverage model-driven applications, Dynamics 365 Sales, Dynamics 365 Customer Insights, and Microsoft 365 Copilot for Sales for their organizations.   Students should be familiar with Microsoft Power Apps and basic data modeling principles.   Students should be familiar with the Dynamics 365 customer experience suite, including Dynamics 365 Sales and Dynamics 365 Customer Insights.

Course Details

Outline

  • Create and manage environments in Dataverse
    • Environments in Microsoft Dataverse
    • Developer environments
    • Create and manage an environment
    • Create an instance of a Microsoft Dataverse database
    • Add users and roles within an environment
    • Manage settings in an environment
    • Environment operations
    • Check your knowledge
  • 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
  • Manage tables in Dataverse
    • Identify tables and table types in Dataverse
    • Create a custom table
    • Enable attachments within a table
    • Licensing requirements for each table type
    • Lab - Create a new custom table and enable attachments
    • Check your knowledge
  • Create and manage columns within a table in Dataverse
    • Define columns in Microsoft Dataverse
    • Column types in Microsoft Dataverse
    • Add a column to a table
    • Primary column
    • Restrictions that apply to columns in a table
    • Create an auto numbering column
    • Create an alternate key
    • Exercises
    • Check your knowledge
  • Working with choices in Dataverse
    • Define choice column
    • Choice columns
    • Standard choices column
    • Lab - Create a new choice or modify an existing choice
    • Check your knowledge
  • Load/export data and create data views in Dataverse
    • View data in a table
    • Create or edit views of data in a table
    • Dataverse data import options
    • Load data into a table
    • Dataverse data export options
    • Export
    • Add, update, or delete data in a table by using Excel
    • Import data using Power Query
    • Check your knowledge
  • Connect to other data in a Power Apps canvas app
    • Overview of the different data sources
    • Work with action data
    • Power Automate is a companion to Power Apps
    • Check your knowledge
  • Create a relationship between tables in Dataverse
    • Relate one or more tables - Introduction
    • Relationship types that are available in Microsoft Dataverse
    • Create a one-to-many relationship between tables
    • Create a many-to-many relationship between tables
    • Edit or delete relationships
    • Exercise - Create two tables and relate them by using a one-to-many relationship
    • Check your knowledge
  • Define and create business rules in Dataverse
    • Define business rules - Introduction
    • Define the components of a business rule
    • Create a business rule
    • Exercise - Create a business rule
    • Check your knowledge
  • Create and define calculation or rollup columns in Dataverse
    • Introduction to roll up columns
    • Create a rollup column
    • Introduction to calculated columns
    • Create a calculation column
    • Exercise - Create a rollup column
    • Exercise - Create a calculated column
    • Introduction to Power Fx formula columns
    • Check your knowledge
  • Customize the command bar
    • Create or edit modern commands
    • Work with classic commands
    • Use Power Fx
    • Exercise - Customize the command bar
    • Check your knowledge
  • Common command bar scenarios
    • Scenario - Duplicate a row
    • Scenario - Use multiple data sources
    • Scenario - Use data source and record information
    • Scenario - Notify and confirm
    • Exercise - Launch an external site and navigate to views
    • Check your knowledge
  • Advanced command bar concepts
    • Command bar application lifecycle management
    • Understand AutoSave
    • Using JavaScript for commands
    • Command scope
    • Exercise - Use custom pages with commands
    • Check your knowledge
  • Visualize data with Dataverse views
    • Create and edit views in Power Apps maker portal
    • Exercise - Add columns to a view
    • Filter and sort data for Dataverse views
    • Exercise - List your accounts
    • Check your knowledge
  • Use Power Query to load data in Dataverse
    • Import static data by using Power Query
    • Exercise – Add new accounts from a text file
    • Import dynamic data by using Power Query
    • Exercise – Transfer an attendee list to a contact table
    • Check your knowledge
  • Use Microsoft Word and Excel templates with Dataverse
    • Create a dynamic Word template
    • Exercise – Create a work order template
    • Create a dynamic Excel template
    • Exercise – Create a sales forecasting template
    • Check your knowledge
  • Export data from Dataverse and use Microsoft Excel to edit records
    • Export data to Excel
    • Exercise - Create an editable Excel file for bulk validation
    • Edit and update data in Excel
    • Exercise - Edit account information in Excel and visualize updates in Dataverse
    • Check your knowledge
  • Use Azure and external tools to manipulate data
    • Use Dataverse community tools for data manipulation
    • Review Power BI integration with Dataverse
    • Check your knowledge

Create tables in Dataverse

  • Table characteristics
  • Table relationships
  • Dataverse logic and security
  • Dataverse auditing
  • Dual-write vs. virtual tables

Manage tables in Dataverse

  • Identify tables and table types in Dataverse
  • Create a custom table
  • Enable attachments within a table
  • Licensing requirements for each table type

Create and manage columns within a table in Dataverse

  • Define columns in Microsoft Dataverse
  • Column types in Microsoft Dataverse
  • Add a column to a table
  • Primary column
  • Restrictions that apply to columns in a table
  • Create an auto numbering column
  • Create an alternate key

Working with choices in Dataverse

  • Define choice column
  • Choice columns
  • Standard choices column

Load/export data and create data views in Dataverse

  • View data in a table
  • Create or edit views of data in a table
  • Dataverse data import options
  • Load data into a table
  • Dataverse data export options
  • Export
  • Add, update, or delete data in a table by using Excel
  • Import data using Power Query

Connect to other data in a Power Apps canvas app

  • Overview of the different data sources
  • Work with action data
  • Power Automate is a companion to Power Apps

Create a relationship between tables in Dataverse

  • Relate one or more tables - Introduction
  • Relationship types that are available in Microsoft Dataverse
  • Create a one-to-many relationship between tables
  • Create a many-to-many relationship between tables
  • Edit or delete relationships

Define and create business rules in Dataverse

  • Define business rules - Introduction
  • Define the components of a business rule
  • Create a business rule

Create and define calculation or rollup columns in Dataverse

  • Create a rollup column
  • Create a calculation column

Customize the command bar

  • Create or edit modern commands
  • Work with classic commands
  • Use Power Fx

Common command bar scenarios

  • Scenario - Duplicate a row
  • Scenario - Use multiple data sources
  • Scenario - Use data source and record information
  • Scenario - Notify and confirm

Advanced command bar concepts

  • Command bar application lifecycle management
  • Understand AutoSave
  • Using JavaScript for commands
  • Command scope

Visualize data with Dataverse views

  • Create and edit views in Power Apps maker portal
  • Filter and sort data for Dataverse views

Use Power Query to load data in Dataverse

  • Import static data by using Power Query
  • Import dynamic data by using Power Query

Use Microsoft Word and Excel templates with Dataverse

  • Create a dynamic Word template
  • Create a dynamic Excel template

Export data from Dataverse and use Microsoft Excel to edit records

  • Export data to Excel
  • Edit and update data in Excel

Use Azure and external tools to manipulate data

  • Use Dataverse community tools for data manipulation
  • Review Power BI integration with Dataverse