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Guarantee your PL-100 exam success with examkiller's study guide. The PL-100 practice test questions are developed by experiences Microsoft Certification Professionals who working in todays prospering companies and Microsoft exam data center.

Exam Number: PL-100

Exam Title: Microsoft Power Platform App Maker

Passing Score: 700 (Total Score: 1000)(Tips: You should pass 70% for each section of the exam (bar on the chart), or else you still faild the exam even your total score more than 700 )

Origin Provider: ExamKiller

Total Questions: 201 QAs

Type: Real Exam Questions

Guarantee: 100% Pass Guarantee

Demo: Click Here for Check Demo

Microsoft PL-100 Exam Objectives

Design business solutions (20–25%)

Create a high-level design

• Identify existing data sources needed to support a business solution
• Describe the expected user experience for targeted devices and describe the differences between Microsoft Power Platform app types
• Create a high-level structure for a new data source

Identify Microsoft Power Platform components

• Determine the required Power Apps app type for a business solution
• 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 uses cases for cloud flows and desktop flows
• Describe use cases for chatbots in Microsoft Teams

Design the user interface (UI) for a business solution

• Identify opportunities for component reuse
• Select UI elements for canvas apps
• Identify the model-driven forms and Microsoft Dataverse views that are needed

Design reporting and visualizations for business solutions

• Select reporting options for business solutions including views, Power BI visualizations, and dashboards
• Define visualizations for Power BI dashboards
• Define visualizations for model-driven dashboards
• Define visualizations for canvas apps

Analyze and visualize data (10–15%)

Create and consume Power BI dashboards

• Create a simple report from an existing dataset by using Power BI Service
• Create Power BI dashboards from existing reports
• Create and configure model-driven dashboards
• Embed Power BI dashboards and tiles in canvas apps and model-driven apps
• Share Power BI dashboards

Describe AI Builder models

• Describe use cases for AI Builder
• Describe differences between prebuilt models and custom models
• Describe the process for training custom models
• Use a model from within Power Automate or Power Apps

Create business solutions (60–65%)

Manage Microsoft Power Platform components during development

• Create a Dataverse solution
• Import a Dataverse solution
• Import or export a canvas app or a cloud flow
• Add existing apps and flows to a Dataverse solution

Create model-driven apps

• Compose model-driven apps
• Create and configure Dataverse table forms
• Create and configure Dataverse table views
• Share model-driven apps with other users and groups
• Create and configure model-driven dashboards

Create and manage canvas apps

• Connect to data sources in canvas apps
• Interpret App Checker results
• Manage versions of canvas apps
• Publish canvas apps
• Share canvas apps with other users and groups
• Build canvas apps screens
• Add canvas app assets and components to screens

Create screens for canvas apps

• Determine when to use forms, galleries, button, labels, input controls, images, and custom controls
• Configure UI elements
• Implement Power Fx formulas
• Implement collections and variables
• Run a Power Automate flow from a canvas app

Configure Microsoft Dataverse

• Create tables and table columns based on a data model
• Link tables by using lookups
• Describe use cases and capabilities of business rules
• Create Dataverse business rules
• Describe how Dataverse uses role-based access control (RBAC)
• Add table permissions to existing Dataverse security roles

Create Power Automate flows

• Describe types of triggers for cloud flows
• Create cloud flows
• Configure triggers for cloud flows
• Configure flow steps
• Test a cloud flow
• Implement conditional logic for a cloud flow
• Create approvals and monitor the approval process by using Power Automate and Microsoft Teams
• Share cloud flows
• Create a desktop flow for personal use

Create Power Virtual Agents chatbots in Microsoft Teams

• Identify use cases and capabilities for chatbots
• Create a chatbot that uses topics and trigger phrases
• Test a chatbot
• Publish a chatbot

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