What This Exam Validates
The official certification program evaluates solution architects on planning, designing, and deploying AI-powered business solutions across modern enterprise platforms. Candidates prove thorough expertise in managing autonomous agents, enterprise copilots, advanced data grounding techniques, and cross-platform artificial intelligence workloads to support vital business operations and digital transformation objectives in modern environments.
Who Should Take This Exam
Accomplished solution architects, technical leaders, and senior consultants with extensive hands-on experience designing secure, scalable, and integrated AI-driven business solutions using advanced Microsoft services and tools.
Skills You Should Be Ready to Demonstrate
- Plan AI-powered business solutions
- Design AI-powered business solutions
- Deploy AI-powered business solutions
- Assess agents for task automation
- Design customizations for Copilot
- Analyze backlog and user feedback
How to Prepare
Review the official exam guide and complete extensive hands-on practice sessions. Study grounding data requirements, multi-agent orchestration, agent monitoring tools, and application lifecycle management strategies in detail. Gain practical, working experience with Microsoft Copilot Studio and Azure AI Foundry tools before sitting for the examination.
Domain Study Guidance
Plan AI-powered business solutions: Study Guidance
This domain covers planning AI-powered business solutions by assessing agents in task automation and data analytics, reviewing data for grounding, and organizing business solution data for other artificial intelligence systems.
- Assess agents in task automation, data analytics, and decision-making
- Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability
- Organize business solution data to be available for other AI systems
Design AI-powered business solutions: Study Guidance
This domain focuses heavily on designing AI-powered business solutions by establishing business terms for Copilot in Dynamics 365 apps, designing app customizations, and building effective connectors for Dynamics 365 Sales.
- Design business terms for Copilot in Dynamics 365 apps for customer experience and service
- Design customizations of Copilot in Dynamics 365 apps for customer experience and service
- Design connectors for Copilot in Dynamics 365 Sales
Deploy AI-powered business solutions: Study Guidance
This domain involves deploying AI-powered business solutions through recommending tools for monitoring agents, analyzing user feedback and backlogs, and applying artificial intelligence tools to identify issues and perform system tuning.
- Recommend the process and tools required for monitoring agents
- Analyze backlog and user feedback of AI and agent usage
- Apply AI-based tools to analyze and identify issues and perform tuning
Exam-Day Guidance
Arrive prepared to complete the proctored exam. Register using a personal account so exam records remain secure, and check with Microsoft for the exact price based on your region.
Frequently asked questions
What is the passing score?
Candidates must achieve a minimum score of 700 to successfully pass the examination on a scaling system ranging from 1 to 1000 for all test takers.
How much does the exam cost?
The exact pricing is determined directly by the specific country or region in which the exam is proctored, as Microsoft does not publish a standard global list price.
Is this exam currently active?
Yes, it is currently active. You should always check directly with Microsoft for the latest updates regarding certification paths and long-term requirements before scheduling your test.
What are the domain weights for the exam?
The exam features three domains: planning AI-powered business solutions weighted at 27.5 percent, designing them weighted at 27.5 percent, and deploying them weighted at 42.5 percent.
Sources and Verification
Verified 2026-09-13
How this page was made
This thorough information page was carefully built using official Microsoft exam guides, study guides, and technical course outlines to ensure accurate information.
Exam Domains
1.0 Plan AI-powered business solutions
28%
- 1.1Assess the use of agents in task automation, data analytics, and decision-making
- 1.2Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability
- 1.3Organize business solution data to be available for other AI systems
- 1.4Implement the AI adoption process from the Cloud Adoption Framework for Azure
- 1.5Design the strategy for building AI and agents in business solutions
- 1.6Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
- 1.7Develop the use cases for prebuilt agents in the solution
- 1.8Define the solution rules and constraints when building AI components with Copilot Studio, Microsoft Foundry and Foundry Tools
- 1.9Determine the use of generative AI and knowledge sources in agents built with Copilot Studio
- 1.10Determine when to build custom agents or extend Microsoft 365 Copilot
- 1.11Determine when custom AI models should be created
- 1.12Provide guidelines for creating a prompt library
- 1.13Develop the use cases for customized small language models for the solution
- 1.14Provide prompt engineering guidelines and techniques for AI-powered business solutions
- 1.15Include the elements of the Microsoft AI Center of Excellence
- 1.16Design AI solutions that use multiple Dynamics 365 apps
- 1.17Select ROI criteria for AI-powered business solutions, including the total cost of ownership
- 1.18Create an ROI analysis for the proposed AI solution for a business process
- 1.19Analyze whether to build, buy, or extend AI components for business solutions
- 1.20Implement a model router to intelligently route requests to the most suitable model
2.0 Design AI-powered business solutions
28%
- 2.1Design business terms for Copilot in Dynamics 365 apps for customer experience and service
- 2.2Design customizations of Copilot in Dynamics 365 apps for customer experience and service
- 2.3Design connectors for Copilot in Dynamics 365 Sales
- 2.4Design agents for integration with Dynamics 365 Contact Center channels
- 2.5Design task agents
- 2.6Design autonomous agents
- 2.7Design prompt and response agents
- 2.8Propose Foundry Tools for a given requirement
- 2.9Propose code-first generative pages and the use of an agent feed for apps
- 2.10Design topics for Copilot Studio, including fallback
- 2.11Design data processing for AI models and grounding
- 2.12Design a business process to include AI components in a Power Apps canvas app
- 2.13Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
- 2.14Determine when to use standard natural language processing, conversational language understanding, or generative AI orchestration in Copilot Studio
- 2.15Design agents and agent flows with Copilot Studio
- 2.16Design prompt actions in Copilot Studio
- 2.17Design AI solutions by using custom models in Microsoft Foundry
- 2.18Design agents in Microsoft 365 Copilot
- 2.19Design agent extensibility in Copilot Studio
- 2.20Design agent extensibility with Model Context Protocol in Copilot Studio
- 2.21Design agents to automate tasks in apps and websites by using Computer Use in Copilot Studio
- 2.22Design agent behaviors in Copilot Studio, including reasoning and voice mode
- 2.23Optimize solution design by using agents in Microsoft 365, including Teams and SharePoint
- 2.24Orchestrate AI features in Dynamics 365 apps for finance and supply chain
- 2.25Orchestrate AI features in Dynamics 365 apps for customer experience and service
- 2.26Propose Microsoft 365 agents for business scenarios
- 2.27Orchestrate the configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
- 2.28Propose Microsoft Power Platform AI features, including AI hub
- 2.29Design interoperability of the finance and operations agent chats to use additional knowledge sources
- 2.30Recommend the process of adding knowledge sources to in-app help and guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management apps
3.0 Deploy AI-powered business solutions
42%
- 3.1Recommend the process and tools required for monitoring agents
- 3.2Analyze backlog and user feedback of AI and agent usage
- 3.3Apply AI-based tools to analyze and identify issues and perform tuning
- 3.4Monitor agent performance and metrics
- 3.5Interpret telemetry data for performance and model tuning
- 3.6Recommend the process and metrics to test agents
- 3.7Create validation criteria of custom AI models
- 3.8Validate effective Copilot prompt best practices
- 3.9Design end-to-end test scenarios of AI solutions that use multiple Dynamics 365 apps
- 3.10Build the strategy for creating test cases by using Copilot
- 3.11Design the ALM process for data used in AI models and agents
- 3.12Design the ALM process for Copilot Studio agents, connectors, and actions
- 3.13Design the ALM process for Microsoft Foundry Agents service
- 3.14Design the ALM process for custom AI models
- 3.15Design the ALM process for AI in Dynamics 365 apps for finance and supply chain
- 3.16Design the ALM process for AI in Dynamics 365 apps for customer experience and service
- 3.17Design security for agents
- 3.18Design governance for agents
- 3.19Design model security
- 3.20Analyze solution and AI vulnerabilities and mitigations, including prompt manipulation
- 3.21Review solution for adherence to responsible AI principles
- 3.22Validate data residency and movement compliance
- 3.23Design access controls on grounding data and model tuning
- 3.24Design audit trails for changes to models and data
- 3.25Last updated on 06/22/2026
- 3.26Purpose of this document
- 3.27Updates to the exam
- 3.28Skills measured as of July 22, 2026
- 3.29Study resources
- 3.30Change log
- 3.31High contrast
- 3.32AI Disclaimer
- 3.33Previous Versions
- 3.34Contribute
- 3.35Privacy
- 3.36Consumer Health Privacy
- 3.37Terms of Use
- 3.38Trademarks
- 3.39© Microsoft 2026
