Course outline

Section 1: Design solutions
Determine how to interact with an application targeted for automation
• evaluate whether a target application can be automated
• choose which automation technology to use to interact with a target application,
• including using selectors and user interface element inspection
• plan connection, payload, and other relevant information for required APIs
• verify access to target applications
Determine which types of Power Automate flows to implement
• differentiate cloud flows and desktop flows
• select which logical components are required for a solution, including flows, triggers
• connectors, canvas apps, and model-driven apps
• develop a strategy for running flows, including running flows serially or in parallel
• choose connectors for a solution, including custom connectors
Design the solution
• design an automation model that includes required flow types and automation methods
• select the types of triggers to use to meet specific business requirements
• choose whether to run the solution attended versus unattended
• develop fault tolerance requirements for the solution
• design required user interface elements for a solution
• design retry and exception handling logic
• design a strategy for scaling a solution and reusing solution components
• design required variables and variable types

Section 2: Develop solutions
Create core solution components
• create custom connectors
• create components to launch, connect to, and authenticate with target applications
• create components to perform business logic and process transactional work
• create components to safely exit from and close target applications
• create components that perform actions by calling external APIs
• implement actions to perform application integration tasks
• implement system actions to run custom scripts and change target screen resolution
• implement Power Automate actions to run Microsoft Office scripts
• create flows by using Microsoft Visio, the mobile app for Power Automate, and other tools
Configure solution components
• select an environment for the solution, and configure environment details
• map target application accounts to environments and other solution components
• configure connection features, and manage references to connections
• configure flow queues, triggers, and schedules
Enhance solution components
• create exception handling blocks to manage business and system exceptions
• create routines to handle and log errors and business exceptions
• create routines to manipulate Power Automate data objects, including JSON objects
• configure role-based security
• configure security for sensitive data
Integrate AI Builder and Azure Cognitive Services with solutions
• describe use cases for and capabilities of AI Builder
• describe the Bring your own AI model feature
• differentiate between prebuilt and custom-trained AI Builder models
• select the appropriate AI Builder model for a solution
Finalize development and test solutions
• differentiate between features and behaviors of debug and compiled solutions
• create and implement a test plan
• perform unit testing, and resolve identified issues
• configure and run attended and unattended desktop flows
• debug solutions by using Power Automate debugging features, including Run from here and breakpoints
• identify machine-level differences and dependencies
• prepare and deploy solutions to a user acceptance testing (UAT) environment

Section 3: Deploy and manage solutions
Configure solution infrastructure
• configure machine management options, including machine registration and machine groups
• implement queue management to distribute workloads
• implement logging and alerts
• implement role-based access control (RBAC)
• manage credentials by using Azure Key Vault
• determine whether to implement data loss prevention (DLP) policies at the tenant level or the environment level
• implement Data Loss Prevention (DLP) policies and other options to protect sensitive and confidential data
• connect to on-premises data by using a data gateway
• Prepare solutions for deployment to production
• create and manage environment variables and solution configuration files
• select a package type, and prepare a solution package
• configure priority for flows
• configure machines and machine groups
• configure child flows
Deploy and manage solutions
• replicate settings from development and user acceptance testing (UAT) environments to production
• deploy a solution to a production environment
• describe use cases for and capabilities of process advisor
• monitor solutions by using process advisor
• upgrade and patch solutions
Share solutions and collaborate with others
• describe the process for sharing solutions
• create a copy of a cloud flow, and send the flow to other users
• share a cloud flow with a user as a co-owner or run-only user
• share a desktop flow
• share machines and machine groups