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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Power Platform Microsoft Certified: Dynamics 365 |
| Exam Format: | Interactive question types, Case studies, Multiple choice, Scenario-based questions |
| Available Languages: | English |
| Exam Duration: | 100 minutes |
| Certificate Validity Period: | 12 months |
| Recommended Training: | Microsoft Copilot Studio Learning Path Azure AI Foundry Documentation |
| Exam Registration: | Microsoft Learn Certification Page AB-100 Exam Study Guide |
| 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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NEW QUESTION # 68
A company uses Microsoft Dynamics 365 to manage service operations. Dispatchers coordinate service requests, and technicians perform scheduled on-site work.
You need to design a solution that will use Microsoft Copilot to improve the efficiency of the service operations. The solution must meet the following requirements:
* Provide Al-driven assistance to help staff organize and resolve work orders.
* Deliver contextual Al support to frontline workers as they prepare for and complete customer appointments.
Which two components should you include in the design? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,F
Explanation:
This scenario is centered on Dynamics 365 service operations, with two distinct user groups:
dispatchers/staff who organize and resolve work orders
frontline technicians who perform on-site service appointments
The best two components are:
Copilot in Field Service
Dynamics 365 Field Service mobile app
Why C. Copilot in Field Service is correct:
Copilot in Field Service is designed to help service teams work more efficiently with work orders, scheduling context, task assistance, and service-related operational support. This matches the requirement to provide AI- driven assistance to help staff organize and resolve work orders.
Why D. the Dynamics 365 Field Service mobile app is correct:
Frontline workers and technicians use the Field Service mobile app while preparing for and completing appointments. That is the right surface for delivering contextual AI support in the flow of field work.
Why the other options are not the best fit:
A). Copilot in Customer Service is focused more on customer support agents than on field dispatch/service execution.
B). Copilot in Outlook is too generic and not purpose-built for field service operations.
E). Dynamics 365 Customer Service is not the primary app for technician appointment execution.
F). Copilot Service workspace is more aligned with service agents in customer support environments rather than frontline field technicians.
NEW QUESTION # 69
You are designing a low-code Al business solution by using Microsoft Copilot Studio.
The solution must include an agent that automates tasks by simulating user interactions across third-party apps and websites, such as clicking buttons, entering text, and extracting information from screens.
You need to recommend what to include in the agent.
What should you recommend?
Answer: B
Explanation:
This requirement is very specific: the agent must automate tasks by simulating user interactions across third-party apps and websites , including:
* clicking buttons
* entering text
* extracting information from screens
That is exactly what Computer Use in Copilot Studio is designed for.
Why C is correct:
* Computer Use enables agents to interact with user interfaces in a human-like way.
* It is intended for scenarios where the agent must work across apps and websites that may not expose direct APIs.
* It supports low-code business automation where the AI performs on-screen actions rather than just answering questions.
Why the other options are not correct:
* A. a natural language understanding+ (NLU+) model in Copilot Studio NLU+ helps with understanding user intent, not with UI interaction automation.
* B. Copilot skills Skills extend capabilities, but the question is specifically about simulating on-screen actions across apps and websites.
* D. Model Context Protocol (MCP) MCP is for standardized tool and context integration between models and external systems. It is not the primary feature for direct UI simulation.
NEW QUESTION # 70
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.
Answer:
Explanation:
Explanation:
Copilot Studio # Use a Microsoft Power Platform deployment pipeline; Microsoft Foundry # Use an Azure DevOps pipeline
NEW QUESTION # 71
A company has a cloud-based Al solution that uses Azure OpenAI models.
You need to design a monitoring solution that meets the following requirements:
* Monitors performance metrics and operational health for the models
* Monitors Al apps and agents for compliance
* Uses Azure-native capabilities
* Minimizes development effort
What should you use 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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer : =
* Monitors AI app and agents for compliance # Microsoft Purview
* Monitors performance metrics and operational health # Azure Monitor
For an Azure-based AI solution using Azure OpenAI models , the best Azure-native monitoring design is to separate:
* operational and performance monitoring
* compliance and governance monitoring
For performance metrics and operational health , the correct choice is Azure Monitor . It is the standard Azure-native service for collecting telemetry, tracking service health, monitoring metrics, analyzing logs, and alerting on runtime issues. This is the best fit for model and application operational monitoring with minimal development effort.
For monitoring AI apps and agents for compliance , the correct choice is Microsoft Purview . Purview is designed for compliance, governance, data protection, and policy-based oversight across data and AI-related assets. It aligns best with the requirement to monitor AI applications and agents from a compliance perspective.
Why the other options are not the best fit:
* Azure API Management is for API exposure, management, and security, not primary compliance or operational monitoring.
* Azure Policy is used to enforce and assess Azure resource compliance, but it is not the main tool for monitoring AI apps and agents in the broader compliance/governance sense asked here.
* Azure Stream Analytics is for streaming data processing, not this monitoring scenario.
* Microsoft Defender is focused on security threat detection and posture, not overall AI compliance monitoring.
NEW QUESTION # 72
A company has an Al agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent ' s output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?
Answer: A
Explanation:
The requirement is to make sure the data ingested by the agent is clean and suitable for the intended use , which is producing monthly sentiment insights to guide product development and marketing .
The best answer is C. Identify and address biased data.
Why C is correct:
* For sentiment analysis and reporting, biased data can distort conclusions and produce misleading recommendations
* Data preparation should include checking for skew, unfair representation, missing segments, and other quality issues that affect downstream decisions
* This aligns with responsible AI and sound analytics practice
Why the other options are not correct:
* A. Ensure that the size of the database does not exceed 100 GB is unrelated to data quality or suitability
* B. Translate the data into a single language might help in some implementations, but it is not universally required and is not the primary data-quality action here
* D. Sort the database by customer last name has no relevance to model readiness or report quality
NEW QUESTION # 73
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