Microsoft Certified: Power Platform Functional Consultant Associate (PL200)

In this five-day Microsoft certified course, students will learn to perform discovery, capture requirements, engage subject matter experts and stakeholders, translate requirements, and configure Power Platform solutions and apps. They will supplement their learnings with hands-on labs to create application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and custom visualizations. Power Platform is comprised of four key products: Power Apps, Power Automate, Power BI, and Power Virtual Agents. In this course, we will cover these four applications in depth, with additional focus on Microsoft Dataverse (formerly Common Data Service), AI Builder, connectors, and portals.

This training is a comprehensive preparation for the PL-200: Microsoft Power Platform Functional Consultant exam to earn the Microsoft Certified: Power Platform Functional Consultant Associate certification.

Module 1: Describe the business value of the Microsoft Power Platform

• Explore Microsoft Power Platform
• Describe the business value of the Power Platform
• Explore connectors and Microsoft Dataverse
• Describe how Power Platform works with Microsoft 365 apps and services
• Explore how Power Platform works with Microsoft Teams
• Describe how Power Platform works with Microsoft Dynamics 365 apps
• Describe how Power Platform solutions consume Microsoft Azure services
• Explore how Microsoft Power Platform apps work together

Module 2: Get Started with Power Pages

• Get started with Power Pages
• Core tools and components of Power Pages
• Overview of Power Pages security
• Overview of Power Pages extensibility

Module 3: Create and use analytics reports with Power BI

• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service

Module 4: Manage workspaces and datasets in Power BI

• Distribute a report or dashboard
• Monitor usage and performance
• Recommend a development life cycle strategy
• Troubleshoot data by viewing its lineage
• Configure data protection

Module 5: Create tables in Dataverse

• Table characteristics
• Dual-write vs. virtual tables
• Dataverse auditing
• Import data into your Microsoft Dataverse database

Module 6: Manage tables in Dataverse

• Identify tables and table types in Dataverse
• Create a custom table
• Enable attachments within a table

Module 7: 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
• Create a primary name column
• Restrictions that apply to columns in a table
• Create an auto numbering column
• Create an alternate key

Module 8: 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

Module 9: Working with choices in Dataverse

• Define choice column
• Standard choices column

Module 10: Get started with security roles in Dataverse

• Introduction to environment roles
• Understand environment roles
• Adding or disabling an environment user
• Understand security concepts in Dataverse
• Understand user security roles and security role defaults
• Check the roles that a user belongs to
• Configure Dataverse teams for security
• Configure Dataverse group teams for security

Module 11: Use administration options for Dataverse

• Introduction to Microsoft Power Platform Admin Center portal
• Use Microsoft Power Platform Admin Center portal
• Tenant storage capacity
• Advanced Customization options in Power Apps Portal
• Enable and disable auditing

Module 12: Manage Dynamics 365 model-driven app settings and security

• Configure role-based security
• Manage teams and business units
• Explore settings and customizations

Module 13: Introduction to Microsoft Power Platform security and governance

• Identify Microsoft Power Platform environments
• Data Loss Prevention policies
• Microsoft Power Platform Center of Excellence Starter Kit

Module 14: Get started with model-driven apps in Power Apps

• Introducing model-driven apps
• Components of model-driven apps
• Design model-driven apps
• Incorporate business process flows

Module 15: Configure forms, charts, and dashboards in model-driven apps

• Forms overview
• Form elements
• Configure multiple forms
• Use specialized form components
• Configure views overview
• Configure grids
• Use specialty views
• Configure charts overview
• Dashboards overview
• Use interactive streams and tiles

Module 16: Get started with Power Apps canvas apps

• Introduction to Power Apps
• Power Apps building blocks
• Ways to build Power Apps
• Power Apps related technologies
• Additional Power Apps related technologies
• Designing a Power Apps app

Module 17: Connect to other data in a Power Apps canvas app

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

Module 18: Manage apps in Power Apps

• Power Apps review

Module 19: Build your first app with Power Apps and Dataverse for Teams

• Create your first app with the hero template
• Customize your app with Power Apps Studio
• Publish your app
• Install template apps

Module 20: Access Dataverse in Power Pages websites

• Use lists to display multiple Dataverse records
• Use forms to interact with Dataverse data

Module 21: Authentication and user management in Power Pages

• Power Pages authentication settings
• User registration in Power Pages
• Authentication management for Power Pages users
• Power Pages authentication providers

Module 22: Power Pages maintenance and troubleshooting

• Power Pages website maintenance
• Power Pages website troubleshooting

Module 23: Define and create business rules in Dataverse

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

Module 24: Get started with Power Automate

• Introducing Power Automate
• Troubleshoot flows

Module 25:Use the Admin center to manage environments and data policies in Power Automate

• Administer flows
• Export and import flows
• Learn how to distribute button flows

Module 26: Use Dataverse triggers and actions in Power Automate

• Dataverse triggers
• Use triggers
• Work with Dataverse actions

Module 27: Extend Dataverse with Power Automate

• Set up a flow and configure its trigger
• Email Dataverse record
• Add to-do items

Module 28: Introduction to expressions in Power Automate

• Introduction to expressions
• Get started with expressions
• Notes make things easier
• Types of functions
• Write complex expressions

Module 29: Build your first Power Automate for desktop flow

• Set up the environment
• Explore Power Automate for desktop
• Create your first Power Automate for desktop flow
• Record Power Automate for desktop actions

Module 30: Run a Power Automate for desktop flow in unattended mode

• Set up an unattended desktop flow
• Create a new cloud flow that calls an existing flow in unattended mode
• Perform a test run
• Best practices

Module 31: Optimize your business process with process advisor

• Get familiar with process advisor
• Create your first recording
• Edit recordings and group actions
• Analyze recordings and interpret results
• Automation recommendations

Module 32: Get started with Power Virtual Agents bots

• Get started working with environments
• Create bots and work with the Power Virtual Agents interface
• Create topics
• Test bots
• Publish bots and analyze performance

Module 33: Enhance Power Virtual Agents bots

• Use Power Automate to add actions
• Transfer conversations to agents by using Omnichannel for Customer Service
• Create topics for existing support content
• Analyze bot performance

Module 34: Manage topics in Power Virtual Agents

• Work with bot topics
• Branch a topic
• System topics
• Create topics for existing support content
• Work with system fallback topics
• Manage topics

Module 35: Manage Power Virtual Agents

• Environments in Power Virtual Agents
• Bot topics permissions
• Bot entities and flow permissions
• Monitor and diagnose
• Administer and manage
• Export and import bots
• Authentication

Module 36: Get started building with Power BI

• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service

Module 37: Get data with Power BI Desktop

• Explore Power BI Desktop
• Connect to data sources
• Get data from Excel
• Transform data to include in a report
• Combine data from multiple sources
• Clean data to include in a report

Module 38: Model data in Power BI

• How to manage your data relationships
• Create calculated columns
• Optimize data models
• Create measures
• Create calculated tables
• Explore time-based data

Module 39: Use visuals in Power BI

• Create and customize simple visualizations
• Create slicers
• Map visualizations
• Matrices and tables
• Create scatter, waterfall, and funnel charts
• Modify colors in charts and visuals
• Page layout and formatting

Module 40: Explore data in Power BI

• Quick insights in Power BI
• Create and configure a dashboard
• Ask questions of your data with natural language
• Create custom Q&A suggestions
• Share dashboards with your organization
• Display visuals and tiles in full screen
• Edit tile details and add widgets
• Get more space on your dashboard

Module 41: Publish and share in Power BI

• Publish Power BI Desktop reports
• Print and export dashboards and reports
• Introducing Power BI Mobile
• Create workspaces in Power BI
• Build apps
• Use apps
• Integrate OneDrive for Business with Power BI
• Publish to web

Module 42: Manage solutions in Power Apps and Power Automate

• Add and remove apps, flows, and entities in a solution
• Edit a solution-aware app, flow, and table
• Exercise - Import and export solutions
• Build and deploy a complex solution with flows, apps, and entities
• Automate solution management

Module 43: Load/export data and create data views in Dataverse

• View data in a table
• Create or edit views of data in a table
• Load data into a table
• Export data from a table
• Add, update, or delete data in a table by using Excel
• Import data using Power Query
• Generate a new dataflow from an Excel Template
• Dataflow and Azure integration

Module 44: Get started with AI Builder

• Choose an AI capability
• Create your first model
• Ways to use your models

Module 45: Manage models in AI Builder

• Model lifecycle
• Manage model versions
• Share your models

Module 46: Use AI Builder in Power Automate

• AI Builder in Power Automate saves time
• Exercise - Use AI Builder actions in Power Automate
• Advanced usage of AI Builder in Power Automate

Module 47: Functional Consultant skills

• Create entity relationship diagrams
• Create and document mock-ups
• Document functional requirements and artifacts
• Complete fit-gap analysis
• Discuss stakeholder management responsibilities
• Understand industry accelerators
• Define Application Lifecycle Management
• Participate in testing
• Evaluate options
• Define connectors
• Understand Power Apps component framework

Module 48: Solution Architect series: Plan application lifecycle management for Power Platform

• Key considerations for ALM
• Solutions
• Configuration and reference data
• Release process
• ALM with Azure DevOps