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Microsoft Power Platform App Maker

Price
165 USD
Not Applicable
LQEX-MOC-PL-100
Exam Vouchers
Microsoft

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Course Description

Overview

This exam measures your ability to accomplish the following technical tasks: design business solutions; create solutions; and analyze and visualize data.

You may be eligible for ACE college credit if you pass this certification exam.

Passing score: 700.
 

Objectives


 

Audience

  • The candidate envisions and creates solutions to simplify and automate tasks and processes for themselves and their team. They understand the data that they are working with, the issues that they need to resolve, and the required processes and app experiences. The candidate may not have formal IT training but are comfortable using technology to solve business problems.
  • The candidate is self-directed, and solution focused. They may connect to and use features of apps including Microsoft Teams, Microsoft 365 apps and services, and third-party solutions. The candidate has a desire to understand the capabilities and limitations of available tools and understands how to apply them. The candidate is an advocate for Power Platform solutions.

Prerequisites


     

Topics

Design business solutions (35–40%) Create a high-level design
  • Identify required data sources for a business solution
  • Describe real-world objects as tables
  • Describe the expected user experience for targeted devices and describe the differences between Microsoft Power Platform app types
  • Create a high-level data model including source, volume, and intended uses
Identify Microsoft Power Platform components
  • Determine the required Power Apps app type
  • Determine when to use Dataverse for Teams
  • Map a problem domain to Microsoft Power Platform tools
  • Identify options for implementing business logic
  • Describe connectors
  • Describe unmanaged solutions
  • Describe uses cases for desktop flows
  • Describe use cases for chatbots
Design data models
  • Determine required tables
  • Identify relationships between tables
  • Identify columns and data types
Design the user interface (UI) for a business solution
  • Identify opportunities for component reuse
  • Apply UI standards
  • Identify the model-driven forms and Dataverse views that are needed
Design reporting
  • Define data output requirements
  • Define visualizations for Power BI dashboards
  • Define visualization requirements for model-driven dashboards
Create solutions (45–50%) Manage Microsoft Power Platform development environments
  • Create a solution
  • Add existing apps and flows to a solution
  • Run solution checker and interpret results
Create model-driven apps
  • Compose model-driven apps
  • Create a site map
  • Create and configure Dataverse table forms
  • Create and configure Dataverse table views
  • Embed model-driven apps in Microsoft Teams channels
  • Embed a canvas app on a form in a model-driven app
  • Manage versions of canvas apps
  • Publish and share canvas apps
  • Share model-driven apps
Create canvas apps
  • Create canvas apps
  • Connect to data sources in canvas apps
  • Build canvas apps screens
  • Compose Microsoft Power Fx formulas
  • Implement collections and variables
  • Interpret App checker results
  • Add canvas app assets and components to screens
Configure Microsoft Dataverse
  • Create tables and table columns based on a data model
  • Link tables by using lookups or relationships
  • Load or create data records for testing and development
  • Publish customizations
  • Create Dataverse business rules
  • Configure security roles
Create Microsoft Power Automate flows
  • Create business process flows
  • Create cloud flows
  • Configure triggers
  • Build scheduled, automated, and instant flows
  • Configure flow steps
  • Test a flow
  • Implement common expressions and loops
  • Create adaptive cards for Microsoft Teams
  • Create and monitor approvals from Power Automate, Microsoft Teams, and SharePoint
  • Share flows
Create Microsoft Power Virtual Agents chatbots in Microsoft Teams
  • Create a chatbot
  • Test a chatbot
  • Publish a chatbot
Analyze and visualize data (15–20%) Create Microsoft Power BI reports
  • Create Power BI report by using Power BI Desktop
  • Create Power BI report by using Power BI service
  • Embed canvas apps in Power Bi reports and dashboards
  • Share Power BI reports and dashboards
Implement other reports
  • Merge data from a data source into a Microsoft Word or Excel template
  • Create model-driven dashboards
  • Embed Power BI content in Power Apps
Describe AI Builder models
  • Identify model types including prebuilt and custom models
  • Describe the process for preparing data and training models
  • Use a model from within Power Automate or Power Apps
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