최신AB-100완벽한시험덤프인증덤프샘플다운

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Microsoft AB-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Agentic AI Business Solutions Architect
Exam Number:AB-100
Real Exam Qty:Around 40-50 questions
Exam Price:USD $85
Exam Duration:50 minutes
Passing Score:700 (out of 1000)
Certificate Validity Period:1 year (for recertification)
Exam Format:Multiple choice, Scenario-based
Related Certifications:Microsoft Applied Skills
Available Languages:English
Sample Questions:Microsoft AB-100 Sample Questions
Exam Way:Online proctored exam
Pre Condition:Basic understanding of Microsoft Copilot, Azure AI services, and general AI/ML concepts recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/applied-skills/agentic-ai-business-solutions-architect/

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Microsoft AB-100 시험요강:

주제소개
주제 1
  • Design AI-powered business solutions: Covers designing AI agents, Copilot integrations, and intelligent workflows using platforms like Copilot Studio, Microsoft Foundry, and Dynamics 365. It includes planning prompts, connectors, agent behaviors, and solution extensibility.
주제 2
  • Deploy AI-powered business solutions: Focuses on deploying, testing, monitoring, and optimizing AI solutions in production. It also includes managing ALM processes, performance monitoring, and ensuring security, governance, and responsible AI compliance.
주제 3
  • Plan AI-powered business solutions: Focuses on analyzing business requirements and identifying where AI agents and generative AI can improve processes. It also includes defining AI strategy, evaluating ROI, and deciding whether to build, buy, or extend AI components.

최신 Microsoft Certified AB-100 무료샘플문제 (Q48-Q53):

질문 # 48
A company uses Microsoft Foundry agents.
You need to ensure that an agent can dynamically use external tools at runtime without updating the agent.
What should you include in the solution?

정답:B

설명:
The correct answer is A. a Model Context Protocol (MCP) server .
In Microsoft Foundry agent scenarios, MCP is used to let an agent discover and use external tools dynamically at runtime without requiring the agent itself to be modified each time a new tool or capability is added.
Why this is correct:
* MCP standardizes how tools are exposed to agents
* It allows the agent to connect to external capabilities in a flexible, runtime-driven way
* New tools can be made available through the MCP server without rebuilding or updating the core agent definition This directly matches the requirement:
"ensure that an agent can dynamically use external tools at runtime without updating the agent." Why the other options are not correct:
* B. a Microsoft Foundry hub A hub is used more for organizing and managing AI resources/projects, not specifically for dynamic runtime tool exposure.
* C. Microsoft Copilot Studio Copilot Studio is for building conversational agents and workflows, but the question is specifically about dynamic external tool use in Foundry agents .
* D. Azure AI Search Azure AI Search is for indexing and retrieving knowledge, not for dynamically exposing executable external tools.


질문 # 49
A company uses multiple Microsoft Copilot Studio agents across different channels.
You need to recommend a monitoring solution that provides comprehensive telemetry data and performance insights for the agents.
What should you include in the recommendation?

정답:D

설명:
Correct:
* Application Insights
To achieve comprehensive monitoring, telemetry, and performance insights for Microsoft Copilot Studio agents across different channels, you should integrate them with Azure Application Insights.
Integrating Application Insights provides a centralized view of agent health, user interactions, topic performance, and latency, which is crucial for monitoring multi-channel deployments.
* Microsoft Power BI is the best tool for monitoring comprehensive telemetry data and performance insights across multiple Copilot Studio agents and various channels.
Analytics tab within Copilot Studio offers quick, high-level insights for individual agents, Power BI provides the necessary scalability for enterprise-level, multi-agent monitoring.
Centralized Multi-Agent View: Power BI allows you to create custom dashboards that aggregate data from multiple agents and environments (e.g., using the Power-CAT Agent Insights Hub).
Deep Telemetry Integration: Power BI can ingest detailed session data and chat transcripts, enabling deep analysis of topic triggers, tool execution, and user satisfaction (CSAT) across channels.
Customization and Reporting: You can leverage Power BI templates, such as the Copilot Studio agent report, to analyze trends over long periods, which the built-in analytics tab does not support.Enhanced Monitoring with Application Insights: By connecting agents to Azure
*-> Application Insights, you can export detailed telemetry to Power BI for comprehensive, long- term monitoring, including conversation transcripts and custom events.
Incorrect:
* Azure Advisor
* Azure DevOps
* Log Analytics
* Microsoft Dynamics 365 Customer Voice
* Microsoft Purview
* the Analytics tab in Copilot Studio
The built-in Analytics tab within Copilot Studio offers quick, high-level insights for individual agents only.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/app/agents-view
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-bot-framework-composer-capture-telemetry


질문 # 50
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.

정답:

설명:

Explanation:
Validate most recent changes # Run tests against the latest unpublished version of the agent; Validate the flow as part of orchestration # Add the flow to the agent as a tool Why the first selection is correct The requirement says the company must validate the most recent changes to the agent before the agent is released. That means testing must happen on the newest working version that has not yet been published to production.
So the correct recommendation is:
Run tests against the latest unpublished version of the agent
This is the safest and most appropriate pre-release testing pattern because it allows the team to:
verify recent changes before users see them
catch regressions early
validate orchestration logic in a controlled state
reduce production risk
From an AI business solutions perspective, pre-release testing is critical for Copilot agents because even small changes in prompts, tools, orchestration, or data connections can affect:
response quality
workflow behavior
escalation paths
compliance behavior
user trust
Testing unpublished changes ensures that governance and quality assurance happen before release, not after deployment.
Why the second selection is correct
The question also requires that the Power Automate desktop flow be validated as part of the agent ' s orchestration.
That means the flow must participate directly in the agent's runtime action path. The correct way to do that is:
Add the flow to the agent as a tool
When a flow is added as a tool, the agent can invoke it during its orchestration. This allows test cases to validate not only the conversational layer, but also the actual execution of the flow inside the end-to-end agent behavior.
From an agentic AI design perspective, tools are how agents connect reasoning with action. If the flow is meant to be part of orchestration, it must be exposed to the agent in a way that allows the agent to call it during task execution.
That is the correct enterprise pattern for validating integrated behavior.


질문 # 51
Case Study 2 - Contoso, Ltd
Overview
Contoso, Ltd. is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance.
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American operations. The company designs and develops innovative products that have many patents and proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt AI solutions to help scale the company in preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted AI solutions.
Requirements
AI Adoption
The following executives will have specific responsibilities in the overall AI adoption:
- Chief Technology Officer (CTO): Select one Dynamics 365 Finance,
Dynamics 365 Supply Chain Management or Dynamics 365 Commerce prebuilt
AI agent and one custom Microsoft Copilot Studio AI agent to prioritize and deploy during the initial AI adoption phase.
- Chief Information Officer (CIO): Ensure that appropriate security
labels are assigned to the data used by the AI agents.
- Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the AI agents being deployed.
- Chief Information Security Officer (CISO): Discover and inventory AI
resources for auditing.
- Chief Executive Officer (CEO): Ensure that all solutions adhere to
industry-standard responsible AI practices.
All AI initiatives and agents will have a detailed business use case, a defined audience profile, and an estimated ROI that will compare the cost savings of the current process against the estimated costs of using the new AI solutions.
The company's research and development (R&D) department already has a custom Model Context Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt AI agent to use in Dynamics 365 Supply Chain Management. The CTO wants to view available agent templates to identify which agent will add the most business value.
Depending on which high-priority AI agents are identified, its agent capabilities must be previewed in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom AI agent requirements:
- The custom AI agent will use data from Dynamics 365 Supply Chain
Management to answer questions for the manufacturing team as a low-code solution.
- The custom AI agent will be accessible from within Microsoft Teams.
- The custom AI agent must be designed to eventually connect to other
agents that can be selected based on their description.
- The topics used in the custom AI agent will be selected based NOT on
a trigger phrase, but on a description of the purpose of the query, to
make the interactions more conversational.
- The custom AI agent must be able to answer questions about product
specifications by using existing technologies. The product
specifications are maintained by the R&D department.
- The custom AI agent must be integrated with and accessible from
Dynamics 365 Supply Chain Management.
- The custom AI agent must be able to use Dynamics 365 Supply Chain
Management business logic that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysis, reporting, and troubleshooting requirements:
- The CISO will audit all the AI solutions monthly for compliance and
security.
- The CFO will analyze all the AI solutions quarterly to compare the
estimated ROI against actual measured efficiencies and adoption. The
CFO will use the Copilot Studio agent usage estimator to perform this
analysis.
- The CISO wants to identify how much sensitive data was accessed for a given AI agent run and who accessed the data. Too much sensitive data accessed by a single user might indicate a high security risk.
- The CTO wants to track user feedback on the quality of the AI agent
responses during user interactions with the agents. Consistently poor
feedback will trigger an escalated reengineering discussion.
- The CEO wants a quarterly assessment of all the required metrics for
their specific responsibilities. The tools used for the assessments
must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
- The CFO wants to identify how many interactions with the AI agents
are abandoned on a given day as compared to resolved conversations. Too many abandoned sessions might indicate that Copilot Studio credits are being used inefficiently by end users.
Drag and Drop Question
Which Copilot Studio analytics metrics should you recommend to assist the executives with their specific responsibilities? To answer, drag the appropriate metrics to the correct executives. Each metric may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

정답:

설명:


질문 # 52
A financial services company uses Microsoft Dynamics 365 Finance.
Currently, the company ' s support staff manually reviews customer transaction histories to detect potential fraud cases before escalating the cases.
You need to recommend an automation solution for the review process. The solution must ensure that escalations reach a human analyst for final decision making. What should you recommend?

정답:B


질문 # 53
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