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Microsoft · AB-100

Microsoft Agentic AI Business Solutions Architect (AB-100) — Practice Questions and Mock Exam

The Microsoft Certified: Agentic AI Business Solutions Architect certification (exam AB-100) validates the ability to plan, design, and deploy agentic AI business solutions across the Microsoft ecosystem — principally Copilot Studio, Microsoft Foundry, Power Platform, and Dynamics 365 Copilot.

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Official AB-100 exam: 700 out of 1000 points to pass.

Checked against Microsoft · August 2026 · Current exam version

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Plan AI-powered business solutions1 / 5

Which statement about environment-level versus tenant-level Power Platform data policies is correct?

AlexFull explanation from Alex

Think of the tenant policy as a floor the whole organization stands on. A tenant-wide data policy sets guardrails that apply everywhere, and an environment-level policy cannot override it: an environment policy can only build upward from there, tightening what one environment allows and never loosening it. When several policies apply to the same environment, the most restrictive combination of connectors wins.

That one rule disposes of the other three statements. Environment policies do not take precedence over tenant policies, because if they did any environment admin could quietly opt out of a central control, which is exactly the failure the design prevents. Tenant policies are not a fallback that applies only when no environment policy exists; they apply regardless. And the two levels are not mutually exclusive, since both existing at once is the normal state in a governed tenant.

Exam tip: whenever a question offers a central scope and a local scope, ask which direction the local scope is allowed to move. Central guardrail plus local refinement is the standard Power Platform pattern, and most restrictive wins is the tie-breaker to memorize.

Sourcelearn.microsoft.com

Design AI-powered business solutions2 / 5

In Copilot Studio, after building an agent, what must you do before customers can interact with it on its connected channels?

AlexFull explanation from Alex

Building an agent and shipping an agent are two different acts. Everything you configure in the authoring canvas lives in a draft that only you and your testers can reach. Publishing is what pushes that draft out to every channel the agent is connected to, and until you do it customers have nothing to talk to. The second half matters just as much: after any change you must publish again, or customers keep interacting with the previous version.

None of the other choices makes an agent reachable. Turning off authentication changes who may talk to the agent, not whether it exists on a channel, and disabling it permanently would be a security decision rather than a deployment step. Deleting the Dataverse database removes data the agent depends on and would break it rather than launch it. Exporting to a spreadsheet produces a document for humans, not a running endpoint.

Exam tip: for any Copilot Studio deployment question, look for the verb that moves work from draft to live. Here that verb is publish, and the republish requirement is the detail exam writers most like to bury.

Sourcelearn.microsoft.com

Plan AI-powered business solutions3 / 5

Which statement best captures when to combine Copilot Studio's low-code interface with Foundry's advanced models (a hybrid approach)?

AlexFull explanation from Alex

The hybrid pattern exists to resolve a trade-off. A pure low-code build in Copilot Studio is fast and reachable for business teams but limited in model choice; a pure pro-code build on Foundry gives you any model and deep customization but demands developers and time. Pairing the low-code authoring surface with Foundry's advanced models keeps the software-as-a-service security and reliability of the first while borrowing the model capability of the second, so business teams can build agents without extensive coding while still accessing enterprise-grade AI models.

The distractors describe conditions the hybrid approach does not address. A strictly on-premises requirement with no cloud rules out both platforms, since both are cloud services. Saying it applies only when no connectors are needed inverts the point, because prebuilt connectors are one of the main reasons to reach for Copilot Studio. And avoiding Microsoft models contradicts the pattern outright, since the Foundry model catalog is the half of the combination that supplies the models.

Exam tip: read hybrid answers as a question about which two strengths are being combined. If an option removes one of the two halves, it cannot be describing the hybrid.

Sourcelearn.microsoft.com

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Conversation preview · AB-100

Publishing an agent

  1. You

    I finished editing my agent. Can customers see the changes?

  2. Alex · AI tutor

    Publish the agent to make the updated version available on its connected channels.

    Read the Microsoft documentation ↗
  3. You

    What happens if I edit it again?

  4. Alex · AI tutor

    Publish again. Saving authoring changes does not by itself update the published version.

    Read the Microsoft documentation ↗

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AB-100 · Question excerpt

Publishing an agent

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In Copilot Studio, after building an agent, what must you do before customers can interact with it on its connected channels?

Understand the correct answer.

Publish the agent (and republish after any changes)

Changes in Copilot Studio must be published before connected channels use the updated agent.

Read the Microsoft documentation ↗

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Question counts and mock exam settings from the current Pass-IT catalog.

Exam domains

What you practice for AB-100.

Exam topics, relevant practice and sources you can check.

Planning AI business solutions25–30% of the exam87 QuestionsPass-IT questions

Assess business needs, data readiness and the cost of an AI solution.

  • Assess agents for automation, analysis and decision support; check grounding data for accuracy, relevance, freshness, cleanliness and availability, and organize it for other AI systems.
  • Design an AI strategy using the Cloud Adoption Framework and AI Center of Excellence; plan multi-agent and prebuilt-agent solutions across Copilot, Foundry and Dynamics 365, with explicit rules and constraints.
  • Choose generative AI and knowledge sources, decide between custom agents and Copilot extensions or custom models, and set guidelines for prompt libraries, prompt design and customized small language models.
  • Define return-on-investment criteria and total cost of ownership, analyze a proposed business-process solution and compare building, buying or extending AI components.
  • Implement model routing to send requests to a suitable model.
Official Microsoft objectives
Agent architecture and integration25–30% of the exam106 QuestionsPass-IT questions

Design agents and AI features that connect business applications, knowledge and tools.

  • Design Copilot business terminology and customizations for Dynamics 365 customer experience and service, connectors for Sales and agents connected to Contact Center channels.
  • Design task, autonomous and prompt-response agents; select Foundry Tools and propose code-first generative pages and agent feeds in applications.
  • Design Copilot Studio topics and fallback, data preparation, canvas-app AI, agents, flows and prompt actions; choose language understanding or generative orchestration and apply the Power Platform Well-Architected Framework.
  • Extend solutions with custom Foundry models and Microsoft 365 agents; design Copilot Studio extensions with Model Context Protocol, computer use, reasoning and voice, including Teams and SharePoint integration.
  • Coordinate prebuilt AI in Dynamics 365 finance, supply chain and customer service, Microsoft 365 agents, Copilot for Sales and Service, and Power Platform features such as AI hub.
  • Add knowledge sources to finance and operations agent chats and to in-app help for Dynamics 365 Finance and Supply Chain Management.
Official Microsoft objectives
Evaluation, lifecycle and governance40–45% of the exam142 QuestionsPass-IT questions

Plan how AI solutions are tested, maintained, monitored and governed after deployment.

  • Choose monitoring processes and tools, analyze feedback and backlog, track agent performance and interpret telemetry to identify issues and tune models and behavior.
  • Define agent test processes, metrics and custom-model validation criteria, review prompt practices, design tests across Dynamics 365 apps and plan Copilot-assisted test creation.
  • Design lifecycle management for AI data, models, Copilot Studio agents, connectors and actions, Foundry agents and AI features across Dynamics 365 applications.
  • Design agent and model security and governance, assess vulnerabilities such as prompt manipulation, choose mitigations and review compliance with responsible AI principles.
  • Validate data residency and transfers, control access to grounding data and model tuning, and design audit trails for model and data changes.
Official Microsoft objectives
Question formats you can practice
Multiple Choice
Select one answer.
Multiple Response
Select multiple applicable answers.
True / False
Decide whether statements are true or false.

These are Pass-IT practice formats. Check the Microsoft certification page for the official exam information.

The ranges describe the weighting of exam topics. See Official Microsoft objectives for the current exam objectives.

Frequently asked questions

Your preparation

How much study time should I plan for AB-100?

For planning, Pass-IT estimates roughly 30–75 hours. Relevant experience may put you toward the lower end; starting from scratch may put you toward the higher end. Your needs may fall outside this range. This is not a time requirement from Microsoft or a promise that you will be exam-ready within that time.

Do you need another certification before AB-100?

No. Microsoft sets no prerequisite, so AB-100 can be booked directly. The catalog budget is around 50 hours, and the deployment weighting means hands-on time counts for more than reading does.

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What language are Pass-IT questions in?

Questions in the app are currently in English. Translations of the sample questions on this page apply only to this preview. Check with Microsoft for the languages available for the official exam.

How long does my AB-100 access last?

Access covers this certification for 12 months. You pay once, with no automatic renewal.

When does the money-back guarantee apply?

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days. Guarantee terms

About the AB-100 exam

Where can I take the AB-100 exam?

Pearson VUE (testing center or online proctored).

How long is the Microsoft Certified: Agentic AI Business Solutions Architect exam?

The AB-100 exam has 50 questions and a 120-minute time limit.

How often does AB-100 need renewing?

Every year. Microsoft opens a free online renewal assessment on Microsoft Learn in the six months before the certification expires, and passing it extends the credential by another year. The full exam is not repeated, but the window is, so the date has to be tracked.

What happens if you fail AB-100?

You can retake it after 24 hours. From the third attempt onwards Microsoft requires 14 days between tries, and caps you at five attempts on the same exam within 12 months.

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Money back if you fail with at least 80% Readiness, for eligible purchases under the guarantee terms.

Guarantee terms

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days.

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