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Describing Al Builder models
- Description of the process for preparing data and training models
- Utilization of a model from within Power Automate or Power Apps
- Identification of model types including prebuilt and custom models
Microsoft PL-100 Exam Syllabus Topics:
| Topic | Details |
|---|---|
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 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 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 Power Virtual Agents chatbots in Microsoft Teams | - create a chatbot - test a chatbot - publish a chatbot |
Analyze and visualize data (15-20%) | |
| Create 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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Understanding functional and technical aspects of PL-100: Microsoft Power Platform App Maker Certification Implement and manage apps and automated workflows
The following will be discussed in MICROSOFT PL-100 exam dumps:
- Share Power BI reports
- Manage versions of canvas apps
- Manage data security
- Describe the testing process
- Test apps and flows
- Support deployment of solutions to testing and production environments
- Restore a previous version of an app
- Implement Power Platform testing tools
- Configure security roles
- Create new versions of an app
- Export solutions
- Validate accessibility
- Move individual apps and flows between environments
- Configure Common Data Service security
- Share flows
- Deploy the solution
- Secure a solution
- Publish a new version of an app
- Manage app security
- Configure field security
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Topics Tested
It is important to know that the test focuses on four main areas of knowledge, each of which has a fixed weightage and covers different skills including:
- Deploy and manage solutions (15-20%)
The last exam domain is all about Common Data Service security, app and flow tests, solution securing, and canvas app version control.
- Analyze and visualize data (5-10%)
According to this part, every applicant has to be able to create Power BI reports, implement other reports, and describe AI Builder models.
- Design Solution (10-15%)
Under this section, on the final exam, candidates should have deep knowledge about high-level design, identifying Power Platform components, and designing data models, User interface, security, and privacy. In addition, understanding Power Platform environments will also be checked.
- Create Solution (55-60%)
This is the vastest skill section that imparts competence related to Power Platform development environments, model-driven and canvas apps, creating Power Automate flows, using controls, configuring data stores, creating business logic and other related concepts.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-100
