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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Related Certifications: | Microsoft Certified: Dynamics 365 Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Power Platform |
| Certificate Validity Period: | 12 months |
| Exam Duration: | 100 minutes |
| Available Languages: | English |
| Exam Format: | Scenario-based questions, Interactive question types, Case studies, Multiple choice |
| 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 # 19
A company has a Microsoft Power Platform solution that contains the following components:
* Microsoft Dataverse tables
* A Microsoft Power Bl workspace named WS1
* A canvas app named App1 that uses Dataverse
* A Power Bl semantic model that connects to Dataverse by using DirectQuery You plan to use generative Al to provide answers to queries based on a subset of corporate data. You need to ensure that the data is available as a grounding data source for Al systems. What should you do?
Answer: D
Explanation:
The goal is to use generative AI to answer questions based on a subset of corporate data, and to ensure that this data is available as a grounding data source.
The solution includes:
Dataverse tables
a Power BI workspace
a canvas app
a Power BI semantic model using DirectQuery to Dataverse
The best action is D. Endorse the semantic model.
Why D is correct:
Endorsing a semantic model makes it a trusted, discoverable enterprise data asset It is the appropriate step when you want approved corporate data to be used reliably by downstream AI and analytics experiences It fits the requirement of exposing a curated subset of data as a grounding source rather than duplicating or manually exporting it Why the other options are not correct:
A). Export the semantic modelExporting does not make it a governed grounding source.
B). Share WS1Sharing the workspace grants access, but it does not establish the semantic model itself as the trusted data source for grounding.
C). Populate a Dataverse tableThe data already exists and is modeled through the semantic layer; creating another table is unnecessary for this requirement.
NEW QUESTION # 20
You need to design an application lifecycle management (ALM) process for a Microsoft Power Platform environment that contains a solution named Solution1.
Solution1 must include a custom connector for Copilot in Microsoft Dynamics 365 Customer Service.
Solution1 must meet the following requirements:
* Ensure that the custom connector can be deployed consistently across environments as part of the ALM process.
* Allow the custom connector to be edited only in the development environment.
What should you include in the design?
Answer: B
Explanation:
The requirements are classic Power Platform ALM requirements:
* the custom connector must be deployed consistently across environments
* it should be editable only in development
The correct design choice is to add the custom connector to Solution1 .
Why B is correct:
* Putting the custom connector inside the solution makes it part of the ALM package
* It can then be exported and imported consistently across environments
* In production, when deployed properly through managed solutions, it is not freely edited there, which supports the requirement that editing happens only in development Why the other options are not correct:
* A. Share the custom connector controls access, not ALM packaging and deployment consistency
* C. Create the custom connector in the default solution is not the recommended ALM approach for controlled deployment
* D. Add the custom connector to GitHub may help source control, but by itself it does not satisfy Power Platform deployment packaging across environments
NEW QUESTION # 21
A company has a Microsoft 365 E5 subscription and uses Microsoft Copilot Studio.
The company has a Microsoft SharePoint Online library that contains 10,000 policy PDFs from various departments. The library contains a populated column named Department for each PDF.
You need to design a Copilot Studio agent that will use the SharePoint library as a knowledge source. The solution must meet the following requirements:
* Enable the agent to answer user questions about company policies.
* Ensure that the agent can identify which departments and policies are connected.
What should you include in the design for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Enable the agent to answer questions about company policies # From Copilot Studio, add SharePoint as a Knowledge source.
Identify which departments and policies are connected # From Copilot Studio, configure the SharePoint tool.
This scenario is about designing a Microsoft Copilot Studio agent that uses a SharePoint Online library containing 10,000 policy PDFs, with a populated Department column for each document.
For the first requirement, the agent must answer questions about company policies. The most direct and correct design choice is to add SharePoint as a Knowledge source in Copilot Studio. This allows the agent to ground its answers in the contents of the policy PDFs stored in the SharePoint library.
For the second requirement, the agent must identify which departments and policies are connected. Since the SharePoint library already includes a structured Department column, the correct design step is to configure the SharePoint tool in Copilot Studio so the agent can use that SharePoint content and its associated metadata more effectively. This supports linking documents to departments rather than only retrieving unstructured text.
Why the other options are not the best fit:
Build a custom model in Microsoft Foundry is unnecessary because the scenario can be solved with native Copilot Studio and SharePoint integration.
Import the PDFs into Microsoft Dataverse adds extra complexity and is not required when SharePoint is already the source.
Use AI Builder to process and feed SharePoint content is not the simplest or most direct design for policy Q & A).
Apply Microsoft Purview sensitivity labels helps with governance, not with department-policy mapping.
Create a Microsoft Dataverse table for the departments is redundant because the department information already exists in SharePoint metadata.
Upgrade to SharePoint Premium is not required for this design.
NEW QUESTION # 22
You use Microsoft Copilot Studio analytics to analyze the performance of a deployed Copilot Studio agent.
You need to identify which performance metrics to use to measure the following:
* The percentage of engaged sessions that are escalated to a live customer service representative
* The number of agent queries that cause a knowledge source error
What should you identify for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
In Microsoft Copilot Studio analytics , each metric is designed to measure a different aspect of agent performance.
For the first requirement, the metric that tracks the percentage of engaged sessions escalated to a live customer service representative is Escalation rate . This directly measures how often conversations are handed off from the agent to a human.
For the second requirement, the metric that helps identify queries causing a knowledge source error is Answer quality . This area evaluates how well the agent responds and includes issues related to grounded answers, failed responses, and knowledge-source-related problems.
Why the other options are not correct:
* Customer Satisfaction (CSAT) score measures user satisfaction, not escalation percentage or knowledge source errors.
* Engagement rate measures whether users actively interact with the agent, not whether sessions are escalated or whether a knowledge source failed.
NEW QUESTION # 23
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: D
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 # 24
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