Domain 1: Plan and configure agent solutions
- Plan integration with enterprise systems and choose the right mechanism: Power Platform connectors, custom connectors, MCP tools, or direct REST APIs.
- Plan an identity and authentication strategy: no authentication, authenticate with Microsoft, or manual OAuth, plus connection references and end-user versus maker authentication.
- Plan channels and deployment across Microsoft 365 Copilot, Teams, custom websites, and Direct Line, and use separate dev, test, and production environments.
- Plan a responsible AI strategy with content moderation levels, groundedness, and testing for harmful or fabricated content.
- Evaluate security and governance: data loss prevention (DLP) policies, environment security, sharing limits, and admin controls.
- Plan reusable components with solutions, templates, and shared topics or child agents.
- Build agent flows: an agent flow is a Power Automate cloud flow the agent calls as an action, with typed input and output parameters.
- Add human-in-the-loop steps such as approvals, and implement error handling with Configure run after, scopes, and retry policies.
- Configure topics: trigger phrases, generative orchestration versus classic routing, message formatting, and managing topic and global variables.
- Configure advanced responses with custom prompts, the Generative answers node grounded on knowledge sources, the Send HTTP request action, and adaptive cards.
Domain 2: Integrate and extend agents in Copilot Studio
- Connect enterprise knowledge sources - SharePoint, websites, files, and Dataverse - so generative answers are grounded, respecting each user's permissions (security trimming).
- Use Microsoft 365 Copilot connectors (Graph connectors) to index external content such as ServiceNow, SAP, and Salesforce and make it available as knowledge.
- Bring your own Azure AI Search index as a knowledge source for vector and semantic retrieval when built-in knowledge is not enough.
- Add tools so the agent can act: connector actions, prompts, flows, MCP tools, and REST APIs, each with descriptions and typed inputs and outputs the model uses to choose them.
- Configure and monitor computer use, which lets an agent operate a browser or UI to complete tasks that have no API.
- Configure MCP tools by connecting the agent to an MCP server that exposes its tools and resources, preferred when a server offers many capabilities.
- Add a tool from an existing custom connector, and add a REST API as a tool using its OpenAPI specification and authentication.
- Design multi-agent solutions where an orchestrator delegates to connected (child) agents based on their descriptions, passing context between them.
- Integrate a Microsoft Foundry agent or a Microsoft Fabric data agent as a connected agent, and build cross-platform interoperability with the A2A protocol.
- Extend into Azure: ground generative answers on Azure AI Search through Foundry, choose a model from the Foundry model catalog for a custom prompt, and monitor the agent with Application Insights.
Domain 3: Test and manage agents
- Use the test pane to trace a conversation, see which topic or tool fired, and inspect variables while you iterate.
- Create a test set of input cases with expected outcomes to evaluate the agent repeatedly and catch regressions.
- Choose an evaluation method - exact match versus semantic or AI-assisted evaluation, groundedness, and relevance - and pick automated or manual review to fit the task.
- Review test results to read pass/fail and scores, compare runs after changes, and find regressions.
- Use agent analytics (engagement, resolution rate, escalation, and session outcomes) to measure and improve the agent in production.
- Package an agent for lifecycle management by adding it and its dependencies (topics, flows, connection references, custom connectors, prompts) to a Power Platform solution.
- Distinguish managed from unmanaged solutions, and set the publisher and prefix.
- Use environment variables to parameterize values that differ per environment, such as endpoints and IDs, and set current values on import.
- Deploy from dev to test to production with Microsoft Power Platform Pipelines, including stages and approvals, instead of manual export and import.
- Publish the agent, manage its channels, and control sharing, co-authoring, and versioning.
AB-620 exam tips
- Weight your prep toward Integrate and extend agents (40-45%) - it is the largest area. Be fluent with knowledge sources and security trimming, tools (connector actions, MCP tools, custom connectors, REST APIs, computer use), multi-agent orchestration with connected agents and A2A, and Foundry/Azure AI Search grounding.
- Know the building blocks precisely: a topic routes and responds, an agent flow is a Power Automate flow the agent calls as an action, a tool is anything the agent can invoke, and the Generative answers node grounds a response on knowledge. Questions often hinge on choosing the right one.
- For integration, distinguish an MCP tool (an MCP server exposing many tools) from a single custom connector, and a Copilot/Graph connector (indexing external content as knowledge) from a Power Platform connector (actions and data). Remember that knowledge respects user permissions through security trimming.
- For multi-agent, understand orchestrator-to-connected-agent delegation driven by agent descriptions, when to integrate a Foundry agent or a Fabric data agent, and where A2A fits for cross-platform interoperability.
- For test and manage, separate evaluation (test sets, evaluation methods, analytics) from ALM (solutions, environment variables, Power Platform Pipelines, publishing and channels). Both are heavily testable in the smallest domain.
Study guide FAQ
What certification does AB-620 lead to?
Passing AB-620 earns the Microsoft Certified: AI Agent Builder Associate certification. The exam's full title is Designing and Building Integrated AI Agent Solutions in Copilot Studio, and a score of 700 or greater is required to pass. It is currently offered in beta.
Who is AB-620 for?
It is for professional developers and advanced builders - IT application developers, consultants, and ISV partners - who build, extend, and integrate custom agents in Microsoft Copilot Studio for enterprise solutions. It assumes intermediate generative AI knowledge and experience with connectors, APIs, and Copilot Studio.
How much coding and product knowledge do I need?
You should know Power Fx, Dataverse, Power Platform, Microsoft 365 Copilot, Microsoft Foundry, adaptive cards, REST APIs and integration patterns, and generative AI concepts including RAG, MCP, and A2A. The exam is applied - it tests which Copilot Studio feature, tool, or setting to use rather than trivia.
How is AB-620 different from AB-730?
AB-620 is a developer exam about building and integrating custom agents in Copilot Studio. AB-730 (AI Business Professional) is a no-code exam about using Microsoft 365 Copilot productively - prompts, conversations, and drafting business content. They target very different audiences.
Is CertGrid's practice official Microsoft material?
No. CertGrid is an independent practice platform and is not affiliated with or endorsed by Microsoft. These questions are original and written to mirror the current AB-620 skills-measured outline so you can rehearse the objectives. Always confirm the current exam page and study guide on Microsoft Learn before your exam.