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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Certificate Validity Period: | 1 year (for recertification) |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 50 minutes |
| Exam Format: | Multiple choice, Scenario-based |
| Real Exam Qty: | Around 40-50 questions |
| Exam Price: | USD $85 |
| Available Languages: | English |
| Related Certifications: | Microsoft Applied Skills |
| 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/ |
>> Microsoft AB-100 Prüfungsfragen <<
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| Thema | Einzelheiten |
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| Thema 1 |
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| Thema 2 |
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| Thema 3 |
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90. Frage
Drag and Drop Question
You need to design a Microsoft Copilot Studio agent that meets the following requirements:
- Supports interactive speech responses
- Optimizes decision-making and the accuracy of responses
What should you include in the design for each requirement? To answer, drag the appropriate options to the correct requirements. Each option 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.
Antwort:
Begründung:
Explanation:
Box 1: Copilot Studio voice features
Supports interactive speech responses
To support interactive speech responses in a Microsoft Copilot Studio agent, you must incorporate specialized voice features and capabilities. These features enable the agent to move beyond chat-based interactions to handle voice-based input (speech-to-text) and output (text-to- speech).
Box 2: A deep reasoning model
Optimizes decision-making and the accuracy of responses
Integrating a deep reasoning model (specifically Azure OpenAI o3) into Microsoft Copilot Studio optimizes decision-making and accuracy by enabling multi-step analysis, logical deduction, and the handling of complex, multi-turn conversations. This capability, enabled via the "reason" keyword in instructions, allows agents to analyze large datasets and provide context-aware, transparent answers, ideal for scenarios like financial analysis or compliance.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/voice-overview
https://learn.microsoft.com/en-us/microsoft-copilot-studio/faqs-reasoning
91. Frage
A company processes invoices stored across multiple systems in multiple formats.
You need to implement an AI solution to automate the invoice processing. The solution must meet the following requirements:
- Automate multi-step invoice processing tasks, including document
analysis, data validation, and approval routing.
- Enable users to interact directly via Microsoft Teams to review and
approve invoices.
- Minimize development efforts to define and customize approval
workflows.
What should you include in the solution?
Antwort: B
Begründung:
To automate invoice processing using Microsoft Copilot Studio and AI Builder, you can build an
"Intelligent Invoicing Agent" that serves as the central orchestration layer. This solution combines AI-driven data extraction with low-code approval workflows accessible directly within Microsoft Teams.
Solution Architecture
The most efficient approach uses Copilot Studio as the "brain" and AI Builder as the "eyes" to read documents.
Extraction Layer (AI Builder): Uses the Prebuilt Invoice Model to automatically identify and extract data like vendor name, date, and total amount without manual training.
Orchestration Layer (Copilot Studio): Hosts "Agent Flows" (advanced workflows) that manage the end-to-end logic, from receiving a file to routing it for approval.
Interaction Layer (Microsoft Teams): Users upload invoices or receive approval cards directly in a chat window, eliminating the need to switch between different accounting apps.
Reference:
https://marketplace.microsoft.com/en-us/marketplace/consulting-services/officelabsltd1628160181702.invoice_management_00
92. Frage
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?
Antwort: D
Begründung:
Microsoft Power Platform connectors are the best fit because Copilot Studio agents can use connectors to reach systems such as ServiceNow, Dynamics 365, and SharePoint-backed content, which helps the agent respond using the most current enterprise data.
Connectors let the agent call external systems and retrieve live data rather than relying on a static indexed copy, which is important for both accuracy and timeliness. Microsoft's documentation explicitly includes Microsoft services like SharePoint and Dynamics 365 among supported connector scenarios, and ServiceNow is also a common integration target for Copilot Studio agents.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
https://learn.microsoft.com/en-us/microsoft-copilot-studio/customer-copilot-servicenow
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-connectors
93. Frage
A company is designing a Microsoft Power Platform solution to reduce the manual steps of a business process by deploying an existing AI model.
You need to calculate the return on AI investment (ROAI) by identifying the metadata and telemetry of the solution.
What should you use?
Antwort: A
Begründung:
The Business Value Toolkit is the correct resource to use for calculating Return on AI Investment (ROAI) for a Microsoft Power Platform solution.
Calculating ROAI with the Business Value Toolkit
The Business Value Toolkit helps organizations move beyond simple automation by providing structured templates and analytics to justify AI investments.
Metadata Identification: It captures environment-specific data, such as the number of automated flows, the type of AI models used (e.g., AI Builder), and the business units involved.
Telemetry Integration: It leverages usage data from the Power Platform admin center and Application Insights to track real-time performance, such as execution frequency and success rates.
ROI Metrics: It transforms technical telemetry into financial outcomes, such as:
- Time saved: Hours recovered from manual data entry or processing.
- Error reduction: Improvements in accuracy compared to manual steps.
- Cost avoidance: Savings from reduced reliance on specialized manual labor.
Incorrect:
[Not D]
While the Cloud Adoption Framework (CAF) for Azure provides broad strategic guidance for AI adoption, the Business Value Toolkit is specifically designed to quantify the impact of low-code and AI solutions using solution metadata and telemetry.
Reference:
https://learn.microsoft.com/en-us/power-platform/guidance/coe/business-value-toolkit
94. Frage
Which two components in the custom Al agent design should the CFO evaluate in the quarterly agent analysis? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point
Antwort: A,C
95. Frage
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AB-100 Fragenpool: https://www.zertpruefung.de/AB-100_exam.html
P.S. Kostenlose und neue AB-100 Prüfungsfragen sind auf Google Drive freigegeben von Zertpruefung verfügbar: https://drive.google.com/open?id=1cxnRyu6WurBihOv7rxL-eeA2dpkasdEz