Score Higher on Verified AB-100 | Agentic AI Business Solutions Architect Exam Questions with Answers

The requirement is to secure agents in a Microsoft Power Platform environment so that they:

use only approved connectors and services

are prevented from accessing sensitive data

The correct recommendation is B. Deploy data loss prevention (DLP) policies in Power Platform.

Why B is correct:

DLP policies in Power Platform are specifically designed to control which connectors can be used together and which services are allowed in an environment. They help administrators classify connectors as business or non-business and restrict unsafe data flows. This directly supports both requirements:

limiting agents to approved connectors/services

preventing data from being exposed through unapproved or risky connector usage

Why the other options are not correct:

A. Enable customer-managed keys in Microsoft Dataverse This helps with encryption control, not with restricting connector usage or preventing data movement through agents.

C. Configure Azure Monitor to capture connector activity logs Monitoring logs is useful for visibility, but it does not enforce connector restrictions or prevent sensitive data access.

D. Enable a Microsoft Dataverse audit Auditing records activity after the fact. It does not proactively block unapproved connectors or sensitive data exposure.

This scenario requires an AI solution for invoice processing across multiple systems and formats , while also allowing direct user interaction in Microsoft Teams and keeping workflow customization effort low.

The best option is Microsoft Copilot Studio and AI Builder .

Why this is correct:

AI Builder can be used for document-focused automation tasks such as extracting data from invoices and supporting structured business document processing.

Microsoft Copilot Studio can provide the conversational and workflow-driven layer, including interaction through Microsoft Teams .

Together, they support multi-step automation , including:

document analysis

extracted data handling

validation steps

routing for human review and approval

This combination also aligns with the requirement to minimize development effort , because Copilot Studio and AI Builder are low-code tools designed for rapid business solution delivery.

Why the other options are less suitable:

A. Azure Document Intelligence in Foundry Tools and Azure Logic Apps This can handle extraction and workflow automation, but it usually requires more implementation effort and does not as naturally satisfy the Teams-centric low-code user interaction requirement as Copilot Studio does.

C. Azure OpenAI and Azure Functions This is far more custom-development-heavy and does not meet the goal of minimizing workflow customization effort.

D. a SharePoint agent A SharePoint agent is too narrow for this broader multi-system invoice processing and approval workflow scenario.

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 Search Useful 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 handling A router helps distribute requests, but it does not solve enterprise data access and grounding across these systems.

C. Create custom prompts Prompting alone does not integrate the source systems or ensure current enterprise data access.