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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Certificate Validity Period: | 12 months |
| Exam Duration: | 100 minutes |
| Available Languages: | English |
| Related Certifications: | Microsoft Certified: Power Platform Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Dynamics 365 |
| Exam Format: | Interactive question types, Multiple choice, Scenario-based questions, Case studies |
| Recommended Training: | Azure AI Foundry Documentation Microsoft Copilot Studio Learning Path |
| Exam Registration: | AB-100 Exam Study Guide Microsoft Learn Certification Page |
| Sample Questions: | Microsoft AB-100 Sample Questions |
| Exam Way: | Online proctored exam (with possible interactive/case-based components) |
| Pre Condition: | Recommended: Active Microsoft Associate-level certification in AI/Power Platform/Dynamics 365 (e.g., AI-102, PL-600, MB-910 or similar) |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-business-solutions-architect/ |
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問題 #59
A company uses a Microsoft Copilot Studio agent to automate tasks in a web app.
During testing, you discover that the automation sometimes fails because of frequent changes to the app's user interface.
You need to recommend a solution to ensure that the agent successfully automates the tasks.
The solution must minimize changes to the agent.
What should you include in the recommendation?
答案：C
解題說明：
The Computer Use tool in Microsoft Copilot Studio is specifically designed to remedy automation failures caused by UI changes with minimal manual intervention.
Unlike traditional Robotic Process Automation (RPA), which relies on rigid selectors or fixed coordinates that break when a layout shifts, Computer Use is powered by Computer-Using Agents (CUA). This AI model combines computer vision with advanced reasoning to "see" the screen like a human, allowing it to adapt to interface changes in real-time.
Why Computer Use Fixes UI Fragility
Visual Reasoning: Instead of looking for a specific HTML tag that might change, the agent looks for the visual concept of a button (e.g., "Submit" or a "plus icon").
Real-Time Adaptation: If a button moves from the left side of the screen to the right, the agent simply scans the screen and finds its new location without requiring you to update any code or scripts.
Natural Language Instructions: You describe the task in plain English (e.g., "Log into the portal and download the latest invoice"). If the portal changes its navigation menu, the AI reasons through the new layout to find the invoice link.
Self-Healing Properties: Because the agent makes decisions at each step based on the current visual state, it effectively "self-heals" during execution, overcoming obstacles that would typically crash a legacy bot.
Reference:
https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/announcing-computer-use-microsoft-copilot-studio-ui-automation
問題 #60
A company has a customer order system that creates sales orders manually.
You need to design an Ai solution to automate the following tasks as part of the system:
* Save the order details to a database.
* Update the order status m the database.
* Extract the order details from an order file
* Prepare and send a confirmation email to customers.
The solution must minimize development effort and support intelligent automation and solution integration.
What should you include m the design?
答案：D
問題 #61
You are designing a customer service agent in Copilot Studio for an insurance company. The agent needs to handle policy enquiries, claims submissions, and general questions. When the agent cannot understand a customer's request, it should collect the customer's details and create a support ticket.
How should you design the topic architecture?
答案：B
解題說明：
Best practice in Copilot Studio is to design modular topics that handle specific intents, with a dedicated fallback topic for unrecognised requests. Separate topics for policy enquiries, claims, and general questions enable focused conversation flows, easier maintenance, and independent testing. The fallback topic ensures that when the agent cannot match a customer's intent to a specific topic, it gracefully captures details and creates a support ticket rather than leaving the customer without assistance.
問題 #62
A company has a Microsoft Foundry generative Al model.
You need to evaluate the model ' s output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
答案：B
問題 #63
A company plans to deploy a Microsoft Copilot Studio agent to enhance customer support.
The company stores customer data across ServiceNow, Microsoft Dynamics 365 Finance, Dynamics 365 Supply Chain Management, and Excel files in SharePoint Online.
You need to recommend a solution to ensure that the agent can deliver accurate and timely responses.
What should you recommend?
答案：C
解題說明：
The agent must deliver accurate and timely responses while customer data is spread across several systems:
ServiceNow
Dynamics 365 Finance
Dynamics 365 Supply Chain Management
Excel files in SharePoint Online
The most appropriate recommendation is Microsoft Power Platform connectors because they are the standard low-code integration mechanism for bringing together data and actions from multiple enterprise systems inside Microsoft Copilot Studio.
Why D is correct:
Connectors let the agent access data across different business systems
They reduce development effort compared with custom integration patterns They help the agent ground responses on the latest data from connected sources Why the other options are not the best fit:
A). Enable incremental indexing in Azure AI SearchUseful in search-based architectures, but the core issue here is connecting multiple business systems into the agent solution.
B). Implement a model router for query handlingA router helps distribute requests, but it does not solve enterprise data access and grounding across these systems.
C). Create custom promptsPrompting alone does not integrate the source systems or ensure current enterprise data access.
問題 #64
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