Microsoft · AB-620
Microsoft Certified: AI Agent Builder Associate (AB-620) Practice Tests
Validates the ability to build, extend, and integrate custom agents for enterprise-grade solutions using Microsoft Copilot Studio, including multi-agent orchestration, enterprise system integrations, and advanced AI capabilities. Targets professional developers and advanced builders creating scalable AI agent solutions.
Exam Details
Practice Questions
595
≈ 11 practice exams
Duration
Not specified
Passing Score
700/1000
Difficulty
AssociateLast Updated
May 2026
Topics Covered
Plan and Configure Agent SolutionsIntegrate and Extend Agents in Copilot StudioTest and Manage AgentsMulti-Agent Collaboration and OrchestrationEnterprise Knowledge Source IntegrationApplication Lifecycle Management (ALM) for AgentsAzure and Microsoft Foundry Integration
Microsoft Certified: AI Agent Builder Associate (AB-620) Practice Exam Preparation
Use this AB-620 practice exam to prepare for Microsoft Certified: AI Agent Builder Associate (AB-620) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 595 questions for Microsoft AB-620, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Plan and Configure Agent Solutions, Integrate and Extend Agents in Copilot Studio, Test and Manage Agents, Multi-Agent Collaboration and Orchestration, and Enterprise Knowledge Source Integration. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
Exam Domain Breakdown
Plan and Configure Agent Solutions33%
Integrate and Extend Agents in Copilot Studio43%
Test and Manage Agents23%
Exam Overview
The Microsoft Certified: AI Agent Builder Associate (Exam AB-620) validates the ability to design, build, extend, and integrate custom agents for enterprise-grade solutions using Microsoft Copilot Studio, Azure AI Foundry, and the broader Microsoft Power Platform ecosystem. The certification covers a wide range of advanced capabilities including multi-agent orchestration via the Agent2Agent (A2A) protocol, Model Context Protocol (MCP) server integration, retrieval-augmented generation (RAG), enterprise knowledge source connectivity (ServiceNow, SAP, Azure AI Search), computer-using agents, and Application Lifecycle Management (ALM) for agent solutions.
Currently in beta as of spring 2026 and scheduled for general availability in June 2026, this certification is positioned at the intermediate (Associate) level and reflects Microsoft's strategic investment in agentic AI across its Copilot, Power Platform, and Azure product lines. Candidates who earn this credential demonstrate proficiency across the full agent development lifecycle—from planning identity and governance strategies to deploying and monitoring production-grade agents with Application Insights.
Who Should Take This Exam
This certification is designed for professional developers and advanced builders who create scalable AI agent solutions for organizations or enterprise customers. Target roles include IT application developers, consultants, and independent software vendor (ISV) partners who build custom agents as part of their professional practice. Candidates typically work alongside Microsoft 365 administrators, Power Platform administrators, Copilot Studio architects, and Foundry administrators.
Ideal candidates have hands-on experience configuring agents in Microsoft Copilot Studio—including basic knowledge sources, instructions, tools, and topics—and are comfortable working with REST APIs, custom connectors, Power Fx, Microsoft Dataverse, and adaptive cards. Those building solutions that span Microsoft Fabric, Azure AI Foundry, and enterprise systems like SAP or ServiceNow will find this certification directly aligned with their work.
Prerequisites
There are no formal prerequisites required to sit for Exam AB-620, but Microsoft recommends substantial hands-on experience before attempting the exam. Candidates should have working familiarity with Microsoft Copilot Studio, Power Fx, Microsoft Dataverse, Microsoft Power Platform environments and components, Microsoft 365 Copilot, Azure AI Foundry (Microsoft Foundry), and adaptive cards.
Intermediate-level knowledge of generative AI concepts is expected, including large language model orchestration, retrieval-augmented generation (RAG), prompt engineering, the Model Context Protocol (MCP), and the Agent2Agent (A2A) protocol. Practical experience with REST APIs, integration patterns, and enterprise connectivity is also strongly recommended. Candidates newer to Copilot Studio should complete foundational learning paths on Microsoft Learn before pursuing this associate-level credential.
Exam Format
Exam AB-620 is a proctored assessment delivered through Pearson VUE, available in English. Candidates have 120 minutes to complete the exam, which may include interactive components in addition to traditional question types. A score of 700 out of 1000 is required to pass. As with all Microsoft certification exams, the scoring scale is not linear—results reflect a scaled score that accounts for question difficulty.
Because the exam is currently in beta (as of May 2026), scores are not released immediately; Microsoft gathers data on question quality before publishing results for beta candidates. The exam covers three assessed domains with published weighting: Plan and configure agent solutions (30–35%), Integrate and extend agents in Copilot Studio (40–45%), and Test and manage agents (20–25%). An exam sandbox is available at aka.ms/examdemo to preview the interface and question interaction style before exam day. The Practice Assessment is not yet available but is typically released within 8 weeks of general availability.
Skills Measured
- 1.Plan and Configure Agent Solutions (30–35%): Covers planning integration with enterprise systems, designing identity and security strategies, planning deployment channels, evaluating responsible AI and governance considerations, creating agent flows in Copilot Studio (including human-in-the-loop flows), configuring actions and connectors, implementing error handling, managing topics and variables, configuring adaptive cards, and designing agents for internal or external audiences.
- 2.Integrate and Extend Agents in Copilot Studio (40–45%): Covers connecting agents to enterprise knowledge sources (Copilot connectors, Power Platform connectors, Azure AI Search), configuring and monitoring computer-use agents, adding MCP tools and REST APIs, building multi-agent solutions using the A2A protocol, integrating Azure AI Foundry agents and Microsoft Fabric data agents, configuring generative answers with Azure AI Search and Foundry, using custom prompts with the Foundry model catalog, and monitoring agents via Application Insights.
- 3.Test and Manage Agents (20–25%): Covers creating test sets, selecting evaluation methods, reviewing test results, implementing Application Lifecycle Management (ALM) for agents in Copilot Studio, creating and managing Power Platform solutions, working with environment variables, and extending Microsoft Power Platform Pipelines for agent deployment.
Study Tips
- Use the official AB-620 Study Guide on Microsoft Learn (aka.ms/AB620-StudyGuide) as your primary study roadmap—it lists every assessed sub-skill with bullet-point detail, so you can track gaps systematically rather than studying broadly.
- Complete the self-paced learning paths on Microsoft Learn for Microsoft Copilot Studio, Power Platform, and Azure AI Foundry. Focus especially on modules covering multi-agent orchestration, MCP server integration, and ALM pipelines, as these topics appear in the heaviest-weighted domain.
- Get hands-on in a Copilot Studio trial environment: build at least one end-to-end agent that uses Azure AI Search for RAG, a custom connector or REST API tool, and an agent flow with error handling. The exam includes interactive components, so procedural familiarity is critical.
- Study the Agent2Agent (A2A) protocol and Model Context Protocol (MCP) from Microsoft's official documentation—these are emerging standards that appear explicitly in the exam objectives and may not be covered well in third-party study materials.
- Use the Exam Sandbox (go.microsoft.com/fwlink/?linkid=2226877) to familiarize yourself with the exam interface and interactive question formats before test day, since the interactive components can be time-consuming if encountered for the first time during the actual exam.
- Review Microsoft Copilot Studio documentation for ALM topics—specifically creating solutions, using environment variables, and configuring Power Platform Pipelines. ALM is its own sub-domain under Test and Manage Agents (20–25%) and is often underrepresented in general AI study materials.
- Follow the Microsoft Power Platform Community Forum and the Microsoft 365 Copilot Community Hub for the latest feature updates. The exam may include questions on Preview features that are commonly used, so staying current with Copilot Studio release notes is important.
Career Benefits
Holding the Microsoft Certified: AI Agent Builder Associate credential positions professionals at the intersection of enterprise AI automation, Power Platform development, and Azure cloud services—one of the fastest-growing specialization areas in the Microsoft ecosystem. Roles directly aligned with this certification include AI Solution Architect, Power Platform Developer, Copilot Studio Specialist, AI Integration Consultant, and ISV Partner Developer. Solution Architects with Microsoft AI and Copilot expertise have reported total compensation exceeding $200,000 annually at senior levels, and demand for Copilot Studio specialists has surged alongside the platform's rapid enterprise adoption, with roughly 90% of Fortune 100 companies having deployed some form of Microsoft Copilot by early 2026.
This certification differentiates candidates from general Power Platform developers by validating advanced, production-grade skills in agentic AI—multi-agent coordination, MCP/A2A protocol implementation, enterprise system integration, and responsible AI governance. It complements other Microsoft credentials such as the PL-200 (Power Platform Functional Consultant) and AI-102 (Azure AI Engineer Associate), and sits below the expert-level Agentic AI Business Solutions Architect certification, providing a clear credential progression path for professionals deepening their AI agent specialization.
Sample Questions
5 sample questions with answers and explanations. The full bank has 595 questions, enough for 11 full-length practice exams.
Preview — answers shown1. Northwind Healthcare wants to automate patient appointment data entry into their legacy Windows desktop scheduling application using Computer-Using Agents (CUA) in Copilot Studio. Which three conditions must be satisfied for this implementation to function? (Select three!)
Multiple correct answersAThe Copilot Studio agent must have generative orchestration enabled
BThe agent deployment environment must be located in the United States region
CThe Windows desktop application must be registered in the CUA allow-list using its product name or process name
DEach automated interaction step will consume 5 Copilot Credits regardless of outcome
EThe language model must be set to Claude Opus for vision-based desktop interaction capability
FAll credentials used by the agent must be stored exclusively in Azure Key Vault
Explanation
Computer-Using Agents in Copilot Studio have three prerequisite conditions for desktop interaction. First, the agent must have generative orchestration enabled, as CUA relies on AI reasoning to interpret and navigate application interfaces. Second, CUA is currently limited to the United States region only, making the deployment environment location a hard requirement. Third, desktop applications must be explicitly permitted by adding them to the CUA allow-list using either the product name or the process name such as Microsoft Edge, msedge, or Notepad. The 5 Copilot Credits per step is a billing consequence rather than a functional prerequisite. Claude Opus is not a supported CUA model; only the OpenAI Computer-Using Agent and Anthropic Claude Sonnet 4.5 are supported for computer use. Azure Key Vault integration for credentials is one available option alongside internal encryption, but it is not a mandatory requirement.
2. Contoso's operations team wants to use Copilot Studio to automate repetitive data entry into a legacy on-premises ERP desktop application that exposes no REST API or web service. An architect recommends implementing a Computer-Using Agent. Which two statements accurately describe the requirements and constraints the team must plan for? (Select two!)
Multiple correct answersAComputer-Using Agents require generative orchestration to be enabled on the agent
BComputer-Using Agents are available in all Azure regions globally without geographic restrictions
CEach individual step executed by a Computer-Using Agent consumes 5 Copilot Credits
DComputer-Using Agents authenticate to all target applications exclusively through Microsoft Entra ID and do not support stored credentials
EComputer-Using Agents support only Anthropic Claude Sonnet 4.5 as the underlying AI model
Explanation
Computer-Using Agents depend on generative orchestration to dynamically reason about and sequence UI interactions; the feature cannot be used without it enabled on the agent. Every discrete UI step executed by a Computer-Using Agent is billed at 5 Copilot Credits, meaning multistep workflows accumulate charges incrementally per step rather than per session. Computer-Using Agents are currently restricted to the US region and are not available globally. Credential storage for target applications supports both internal encryption and Azure Key Vault integration, not exclusively Microsoft Entra ID. Computer-Using Agents support two underlying models: the OpenAI Computer-Using Agent and Anthropic Claude Sonnet 4.5; both are generally available.
3. VanArsdel Ltd. is packaging a Copilot Studio agent into a managed solution for deployment across development, test, and production environments. The agent calls an external payment gateway API that requires a unique API key per environment. The compliance team mandates that API keys must never appear as plain text within any exported solution artifact. Which environment variable configuration satisfies this requirement? (Select one!)
ACreate a Secret environment variable that references an Azure Key Vault secret in each target environment, acknowledging that this configuration requires a premium Power Platform license
BCreate a String environment variable, leave the default value blank, and instruct administrators to manually enter the API key as the current value in each environment after managed solution import
CCreate separate managed solutions for each environment and embed the correct API key as a hardcoded String environment variable default value within each solution file
DCreate a JSON environment variable and apply a Power Fx encryption formula to the API key before storing it in the default value field of the solution
Explanation
Secret environment variables in Power Platform store only a reference to an Azure Key Vault secret rather than the secret value itself. When the solution is exported and the managed package is inspected, no plain text API key is present — only the Key Vault reference travels with the solution, and each environment's Azure Key Vault holds the appropriate environment-specific secret. This satisfies the compliance mandate that API keys never appear as plain text in solution artifacts. Secret environment variables require a premium Power Platform or Copilot Studio license. Using a String environment variable with a blank default prevents the key from traveling in the export, but administrators would still type the plain text value post-import, which is less secure than Key Vault integration and does not fully address the mandate. JSON variables have no native encryption support in Power Fx. Embedding hardcoded API keys in separate solution files as default values directly violates the requirement against plain text keys in solution artifacts.
4. Margie's Travel has enabled computer-using agents in Copilot Studio to automate hotel booking workflows across multiple travel supplier websites. Their security team requires that the agent only be allowed to interact with approved supplier domains and a specific desktop application. The team wants to permit all subdomains under travelsuppliers.com and allow the agent to interact with Microsoft Edge. How should the developer correctly format the allow-list entries? (Select one!)
AEnter 'https://travelsuppliers.com' as the website entry and 'edge' as the desktop application entry
BEnter 'travelsuppliers.com/*' as the website entry and 'Microsoft Edge.exe' as the desktop application entry
CEnter 'travelsuppliers.com' as the wildcard website entry and 'msedge.exe' as the desktop application process entry
DEnter '*.travelsuppliers.com' as the website entry and either 'Microsoft Edge' or 'msedge' as the desktop application entry
Explanation
Copilot Studio computer-using agents support domain wildcard patterns in the format '*.domain.com' to permit all subdomains of a given root domain. This is the correct syntax to allow all subdomains under travelsuppliers.com without enumerating each one individually. For desktop applications, the allow-list accepts either the product name (Microsoft Edge) or the process name (msedge) — both are valid and interchangeable. Appending '.exe' to the process name is not a supported format. Using a URL path suffix such as 'travelsuppliers.com/*' is not the correct wildcard syntax for domain allow-lists. Including the HTTPS scheme prefix is also not part of the expected format for website allow-list entries in computer-using agent configuration.
5. Woodgrove Bank is deploying a Copilot Studio agent that must retrieve data from their on-premises SAP ERP system. The IT team is configuring the on-premises data gateway on a Windows server in the corporate network. Which two components must be installed on the gateway machine to enable SAP connectivity? (Select two!)
Multiple correct answersASAP ERP connector (premium)
BSAP .NET Connector (NCo 3.0)
CAzure Service Bus Relay client SDK
DSAP GUI for Windows
EMicrosoft ODBC Driver for SAP HANA
Explanation
SAP integration through the on-premises data gateway requires both the SAP ERP connector (a premium connector) and the SAP .NET Connector (NCo 3.0) installed on the gateway machine. The NCo 3.0 library provides the native SAP communication layer that the SAP ERP connector depends on for RFC and BAPI calls. The gateway communicates with Azure outbound-only via Azure Service Bus relay and does not require a separate Relay client SDK installation. SAP GUI for Windows is a graphical user interface application for SAP end users and is not a gateway connectivity component. The Microsoft ODBC Driver for SAP HANA applies specifically to SAP HANA database connections and is unrelated to the SAP ERP connector requirements.
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