1. Describe the business value of Power Platform (15-20%)
1.1. Describe the business value of Power Platform services
1.1.1. - analyze data by using Power BI
1.1.2. - act with Power Apps
1.1.3. - build solutions that use Microsoft Dataverse
1.1.4. - create flows by using Power Automate
1.1.5. - use connectors to access services and data
1.1.6. - create powerful chatbots by using a guided, no-code graphical interface
1.2. Describe the business value of extending business solutions by using Power Platform
1.2.1. - describe how Dynamics 365 apps can accelerate delivery of Power Platform business solutions
1.2.2. - describe how Power Platform business solutions can be used by Microsoft 365 apps including Microsoft Teams
1.2.3. - describe how Power Platform business solutions can consume Microsoft 365 services
1.2.4. - describe how Power Platform business solutions can consume Microsoft Azure services including Azure Cognitive Services- describe how Power Platform business solutions can consume third-party apps and services
1.3. Describe Power Platform administration and security
1.3.1. - describe how Power Platform implements security including awareness of Microsoft
1.4. Dataverse security roles, Azure Identity Services, and Access Management (IAM)
1.4.1. - describe how to manage apps and users
1.4.2. - describe environments
1.4.3. - describe where to perform specific administrative tasks including Power Platform Admin center, Microsoft 365 admin center
1.4.4. - describe Data Loss Prevention (DLP) policies
1.4.5. - describe how the platform supports privacy and accessibility guidelines
2. Demonstrate the capabilities of Power BI (15-20%)
2.1. Identify common Power BI components- identify and describe uses for visualization controls including pie, bar, donut, and scatter plots and KPIs
2.1.1. - describe types of filters
2.1.2. - describe the Power BI Desktop Reports, Data, and Model tabs
2.1.3. - describe uses for custom visuals including charts or controls
2.2. Compare and contrast dashboards and workspaces
2.2.1. - compare and contrast Power BI Desktop and Power BI Service
2.2.2. - compare and contrast dashboards, workspaces, and reports
2.3. Connect to and consume data
2.3.1. - combine multiple data sources
2.3.2. - clean and transform data
2.3.3. - describe and implement aggregate functions
2.3.4. - identify available types of data sources including Microsoft Excel
2.3.5. - describe use cases for shared datasets and template apps and how to consume each
2.4. Build a basic dashboard using Power BI
2.4.1. - design a Power BI dashboard
2.4.2. - design data layout and mapping
2.4.3. - publish and share reports and dashboards
3. Demonstrate the capabilities of Power Automate (15-20%)
3.1. Identify common Power Automate components
3.1.1. - identify flow types
3.1.2. - describe use cases for flows and available flow templates
3.1.3. - describe how Power Automate uses connectors
3.1.4. - describe loops and conditions including switch, do until, and apply to each
3.1.5. - describe expressions
3.1.6. - describe approvals
3.2. Build a basic flow
3.2.1. - create a flow by using the button, automated, or scheduled flow template
3.2.2. - modify a flow
3.2.3. - use flow controls to perform data operations
3.2.4. - run a flow
3.2.5. - modify a flow
4. Identify the Core Components of Power Platform (15-20%)
4.1. Describe Microsoft Dataverse
4.1.1. - describe the Power Apps user experience
4.1.2. - describe tables, columns, and relationships
4.1.3. - describe use cases for solutions
4.1.4. - describe use cases and limitations of business rules
4.1.5. - describe the Common Data Model (CDM)
4.1.6. - describe how to use common standard tables to describe people, places, and things
4.2. Describe Connectors
4.2.1. - describe the native Dataverse connection experience
4.2.2. - describe triggers including trigger types and where triggers are used
4.2.3. - describe actions
4.2.4. - describe licensing options for connectors including standard or premium tier
4.2.5. - Identify use cases for custom connectors
4.3. Describe AI Builder
4.3.1. - identify the business value of AI Builder
4.3.2. - describe models including business card reader, detection model, form processing model, and prediction model
4.3.3. - describe how the Power Apps and Power Automate can consume AI Builder data
5. Demonstrate the capabilities of Power Apps (15-20%)
5.1. Identify common Power Apps components
5.1.1. - describe differences between canvas apps and model-driven apps
5.1.2. - describe portal apps
5.1.3. - identify and describe types of reusable components including canvas component libraries and Power Apps Component Framework (PCF) components
5.1.4. - describe use cases for formulas
5.2. Build a basic canvas app
5.2.1. - describe types of data sources
5.2.2. - connect to data by using connectors
5.2.3. - combine multiple data sources
5.2.4. - use controls to design the user experience
5.2.5. - describe the customer journey
5.2.6. - publish and share an app
5.3. Describe Power Apps portals- create a portal by using a template
5.3.1. - describe common portal customizations
5.3.2. - identify differences in portal behavior based on whether a user is authenticated
5.3.3. - apply a theme to a portal
5.4. Build a basic model-driven app
5.4.1. - add tables to app navigation
5.4.2. - modify forms and views
5.4.3. - publish and share an app
6. Demonstrate the capabilities of Power Virtual Agents (10-15%)
6.1. Describe Power Virtual Agents capabilities
6.1.1. - describe use cases for Power Virtual Agents
6.1.2. - describe where you can publish chatbots
6.1.3. - describe topics, entities and actions
6.1.4. - describe message nodes, question nodes, conditions, trigger phrases, and the authoring canvas
6.1.5. - identify common pre-built entities
6.2. Build and publish a basic chatbot
6.2.1. - create a chatbot- create a topic
6.2.2. - call an action
6.2.3. - test a chatbot
6.2.4. - publish a chatbot
6.2.5. - monitor chatbot usage
6.2.6. - monitor chatbot performance