Microsoft is launching the Microsoft Certified: Power Automate RPA Developer Associate certification. It allows you to demonstrate your knowledge of designing robotic process automation (RPA) solutions using Microsoft Power Automate to automate time-consuming and repetitive operations. To acquire this certification, you must pass Exam PL-500: Microsoft Power Automate RPA Developer.
Are you a developer who knows how to use automation to relieve the stress of repetitive chores that your team completes regularly? Check out this certification if you know how to use Power Automate RPA capacity to optimize company operations and link old and new systems.
This certification verifies the abilities of seasoned developers. You'll need experience with:
JSON
Cloud flows, and desktop flows
Integrating solutions with REST and SOAP services
Data analysis with Microsoft Excel, VBScript, and Visual Basic for Applications (VBA)
HTML
JavaScript
Microsoft Power Platform suite of tools (AI Builder, Power Apps, Dataverse, and Power Virtual Agents).
This exam PL-500: Microsoft Power Automate RPA Developer (Beta) will be available in April 2022.
RPA Developer Role
RPA developers are passionate about providing automated solutions to their clients. These programmers have prior experience with solution requirements, process documentation, designing, developing, troubleshooting, and assessing solutions. Working with business stakeholders to optimize and automate business procedures is one of their tasks. They also work with administrators to implement solutions into production environments.
Exam PL-500: Microsoft Power Automate RPA Developer – Skills Measured
The passing score for this exam is 700.
Audience Profile
Candidates for this exam automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions.
Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions.
Additionally, candidates should have experience with JSON, cloud flows and desktop flows, integrating solutions with REST and SOAP services, analyzing data by using Microsoft Excel, VBScript, Visual Basic for Applications (VBA), HTML, JavaScript, one or more programming languages, and the Microsoft Power Platform suite of tools (AI Builder, Power Apps, Dataverse, and Power Virtual Agents).
Skills Measured
NOTE: The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.
NOTE: Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.
Design Solutions (25-30%)
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
Develop solutions (40–45%)
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
Deploy and manage solutions (30–35%)
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
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