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Microsoft Agentic AI Business Solutions Architect 認定 AB-100 試験問題 (Q17-Q22):
質問 # 17
Case Study 1 - Fabrikam, Inc
Background
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and implement AI solutions, wherever possible, to streamline operations.
Problem Statements
Fabrikam's infrastructure currently relies on various on-premises systems that require sales executives to use corporate computers with physical keyboards to access business information during customer interactions. Mobile phones cannot be used for these purposes, as the systems depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to search for data on several disparate systems and file servers, rather than focusing on the customers. This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives
General
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer engagement, and responsible AI adoption. The current application infrastructure is on-premises and must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based topology; this will include user authentication, the security framework, and, primarily, the adoption of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales team.
Sales Cycle Enablement
To achieve the company's objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:
- Use low-code development to create a single AI agent that has
Dataverse as its core component.
- Ensure that sales managers can access unanswered correspondence from
prospects and intervene as appropriate.
- Replace the previous proprietary software with Dynamics 365 Sales to
track sales cycles and customer interactions.
- Have the sales executives use Dynamics 365 Sales to track
interactions for open opportunities and send follow-up communications
to prospects.
- Have the sales executives use handsfree headsets to interact with an
AI agent when they have questions about internal policies or customer
data.
Requirements
Infrastructure Migration
Fabrikam has identified the following infrastructure migration requirements:
- Azure must be used for all future infrastructure workloads.
- The company must follow Microsoft-recommended methodologies for
infrastructure migration to the cloud.
- Any created AI agents must have their return on investment (ROI)
calculated to ensure that the solution will save the company money.
Sales Cycle Enablement
Fabrikam has identified the following requirements for sales cycle enablement:
- The final AI agent must follow Microsoft recommendations for a
conversational user experience.
- A designated checklist must be reviewed to ensure that the AI agent
follows Microsoft deployment recommendations for a compliant solution.
- Detailed telemetry must be logged for the first created AI agent to
help troubleshoot and optimize the agent during the initial AI agent
adoption process.
- Unexpected AI agent actions must end in an escalation to a live
representative. For example, a sales executive must be rerouted to a
representative if the agent cannot answer a question after two failed
attempts.
- The return on investment (ROI) of switching from the current process
to the future process is required for stakeholder sign off.
- The sales team must use Dynamics 365 Sales to correspond with
prospects more quickly and efficiently than currently.
- Sales managers must report on the adoption of the AI agent to key
Fabrikam stakeholders on a monthly basis.
- Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for future auditing.
Which tool should you recommend to help secure funding for future AI agent development?
正解：B
解説：
Scenario
Requirements
Any created AI agents must have their return on investment (ROI) calculated to ensure that the solution will save the company money.
--
In a Microsoft AI migration, calculating the Return on Investment (ROI) for AI agents is essential for justifying costs and securing future funding. You can utilize the Analytics tab in Microsoft Copilot Studio to track these financial and performance metrics directly.
Calculating ROI with Copilot Studio Analytics
The Analytics tab provides a dedicated Savings tile (ROI) that allows you to quantify the impact of your agents:
Define Savings Parameters: You can input estimated time saved (in seconds, minutes, or hours) and money saved per successful agent run.
Real-Time Tracking: Total savings are calculated automatically for your selected period based on successful runs of resolved conversations.
Retroactive Application: If you update your savings estimates, the system can apply these changes to previous runs to provide an accurate historical view.
Granular Insights: Savings can be defined at the overall agent-run level or for specific tools used within a run.
Reference:
https://learn.microsoft.com/en-us/training/modules/forecast-agent-return-investment/
質問 # 18
Hotspot Question
A company uses Microsoft Dynamics 365 Supply Chain Management.
You are designing an AI supply chain process that meets the following requirements:
- Provides managers with AI-driven insights that surface key
information from customer orders
- Helps planners use AI to anticipate future product needs more
accurately
You need to recommend which Microsoft Copilot features to include in the design.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: AI summaries with Copilot
Provides managers with AI-driven insights that surface key information from customer orders To provide managers with AI-driven insights from customer orders in Dynamics 365 Supply Chain Management, use the AI summaries with Copilot feature, specifically leveraging the embedded Customer Summary capabilities. This tool provides instant, personalized overviews of critical data, such as backordered items, credit limits, and risk indicators, directly within the workspace.
Box 2: Generative insights for Demand planning
Helps planners use AI to anticipate future product needs more accurately The Copilot Generative insights for Demand planning feature in Microsoft Dynamics 365 Supply Chain Management enables demand planners to move from reactive, manual forecasting to proactive, AI-driven demand anticipation. By analyzing, clustering, and interpreting vast datasets, Copilot helps identify patterns such as seasonality and signal correlations to improve accuracy.
Reference:
https://www.randgroup.com/insights/tip-of-the-month/finance-operations-totm/dynamics-365- finance-operations-tip-of-the-month-work-smarter-with-copilot-in-d365-finance-supply-chain- management/
https://learn.microsoft.com/en-us/dynamics365/release-plan/2025wave2/enterprise-resource- planning/dynamics365-supply-chain-management/analyze-demand-enhanced-generative- insights-demand-planning
質問 # 19
A retail company plans to deploy Microsoft Copilot Studio agents to support:
- Microsoft Dynamics 365 Commerce scenarios.
- A Microsoft Power Apps inventory management solution.
You need to recommend a solution to organize product catalog data as a consistent source for multiple AI systems.
What should you recommend?
正解：C
解説：
In the scenario described, centralizing product catalog data in Microsoft Dataverse is the recommended architectural approach to ensure consistency across multiple AI systems.
Dataverse acts as a unified "knowledge network" that allows different agents to share a single source of truth for both structured and unstructured data.
Key Benefits of Centralizing in Dataverse
Cross-App Consistency: By storing the catalog in Dataverse, both the Dynamics 365 Commerce agent and the Power Apps inventory management agent access the exact same records. This prevents data silos where inventory levels or product descriptions might drift apart between systems.
Native Copilot Studio Integration: You can directly add Dataverse tables as knowledge sources in Microsoft Copilot Studio. This allows agents to use Retrieval-Augmented Generation (RAG) to answer queries grounded in your live product data.
Security & Governance: Dataverse enforces Role-Based Access Control (RBAC), ensuring that agents only interact with data they are authorized to see, based on the user's existing permissions.
Automated Updates: You can use Power Platform Dataflows to ingest and synchronize catalog data from external sources into Dataverse, keeping the information fresh for all connected AI agents.
Reference:
https://www.microsoft.com/en-us/power-platform/blog/2025/06/16/data-agent-architecture- powered-by-microsoft-dataverse
質問 # 20
Hotspot Question
A company plans to implement an AI solution that will contain a Microsoft Copilot Studio agent and a Microsoft Foundry agent. The solution will be stored in a source code repository.
You need to recommend a deployment method for each agent. The solution must meet the following requirements:
- A test environment must be used before a deployment to production.
- Production must be isolated from development and testing.
- The deployment must be repeatable and fully automated.
- The solution must NOT require manual intervention.
Which deployment method should you recommend for each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Use a Microsoft Power Platform deployment pipeline
Copilot Studio agent
The preferred deployment method is to use a Microsoft Power Platform deployment pipeline.
Microsoft Power Platform pipelines are specifically designed to meet your requirements for a secure, automated, and repeatable application lifecycle management (ALM) process for Copilot Studio agents:
Box 2: Use a Bicep file
Microsoft Foundry agent
In the scenario described for a Microsoft Foundry agent, the preferred deployment method is to use a Bicep file.
This approach is best suited for your requirements because:
Infrastructure as Code (IaC): Azure Bicep allows you to define your entire environment-including the Foundry hub, projects, and model deployments-as code stored in your source repository.
Automation & Repeatability: Bicep files integrate directly with GitHub Actions or Azure Pipelines, enabling fully automated, repeatable deployments without manual intervention.
Environment Isolation: You can use Bicep to provision distinct, isolated resources for development, testing, and production by parameterizing the deployment for each environment.
Suitability: While Power Platform pipelines are used for Copilot Studio agents, Foundry-based agents are Azure resources where Bicep is the native and more powerful automation tool for managing the underlying infrastructure and model endpoints.
Reference:
https://learn.microsoft.com/en-us/power-platform/release-plan/2024wave2/microsoft-copilot- studio/solution-management-copilot-studio
https://techcommunity.microsoft.com/blog/azureinfrastructureblog/automating-azure-ai-foundry- deployment-with-iac-leveraging-bicep-and-github-work/4412155
質問 # 21
Hotspot Question
A company deploys a Microsoft Copilot Studio agent that integrates with a Microsoft Power Automate desktop flow.
You need to recommend a testing solution that meets the following requirements:
- Test cases must validate the most recent changes to the agent before
the agent is released.
- The flow must be validated as part of the agent's orchestration.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Run test against the latest unpublished version of the agent
Test cases must validate the most recent changes to the agent before the agent is released.
To validate the most recent changes to a Microsoft Copilot Studio agent integrated with a Power Automate desktop flow before release, use the Copilot Studio Kit.
This specialized toolkit allows you to create and automate test cases that run against the test version of your agent rather than the published one.
Key Components for Validation
Copilot Studio Kit: Use this to build test sets (sets of questions and expected answers) and run them through a graphical interface.
Power Platform Pipelines: Integrate your tests into a deployment pipeline. The pipeline can be configured to automatically trigger these test runs whenever a deployment request is made, acting as a quality gate that pauses the release if tests fail.
*-> Agent Configuration: In the kit, specify the development environment as the source so that the tests interact with your latest unpublished changes.
Desktop Flow Verification: Since your agent uses desktop flows, use the Response match and Plan validation test types within the kit to ensure the agent correctly triggers the integrated flow tools as part of its execution plan.
Box 2: Use the Power Automate for desktop console
The flow must be validated as part of the agent's orchestration.
To ensure your Microsoft Power Automate desktop flow is correctly validated for orchestration within a Microsoft Copilot Studio agent, follow these steps using the Power Automate for desktop console and the Copilot Studio designer:
1. Validate via Power Automate for Desktop Console
Run a Local Test: Open the Power Automate for desktop console, select your flow, and click the Start button to run it as a "local attended" flow. This confirms that the logic and UI selectors work correctly in your environment.
Check Variables: Ensure that any Input and Output variables are properly defined. These are critical for passing data between the cloud-based agent and the desktop machine.
Monitor Connectivity: Use the Troubleshooter within the console (under Help > Troubleshooter) to diagnose any connectivity issues with the cloud runtime, ensuring the agent can trigger the desktop flow.
2. Validate the Integration in Copilot Studio
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/kit-automate-test-deploy
https://learn.microsoft.com/en-us/power-automate/desktop-flows/test-desktop-flows
質問 # 22
......
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