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We strongly recommend using our Microsoft AB-100 exam dumps to prepare for the Microsoft AB-100 certification. It is the best way to ensure success. With our Agentic AI Business Solutions Architect (AB-100) practice questions, you can get the most out of your studying and maximize your chances of passing your Agentic AI Business Solutions Architect (AB-100) exam.
NEW QUESTION # 59
Hotspot Question
A company has Microsoft Power Platform development, staging, and production environments.
Each environment has its own Microsoft Dataverse tables and Azure AI Search index.
You are designing an application lifecycle management (AIM) process to deploy a Microsoft Copilot Studio agent between the environments.
The company has a Copilot Studio agent named Agent1 in development. Agent1 uses the following grounding data sources:
- A Dataverse table named CustomerOrders
- An Azure AI Search index named customer-knowledge
You need to deploy Agent1 to production. The solution must ensure that the agent uses the production grounding data sources, minimizes downtime, and handles credentials and endpoints securely.
What should you include in the deployment package solution, and what should you reconfigure after the deployment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 60
You are designing a mufti-agent solution to orchestrate a set of specialized agents.
You plan to include in agent that connects to a third party data source The agent must be discoverable and usable by users in Microsoft 365 Copilot and Microsoft Teams.
You need to recommend a development strategy for the agent
Which two tools should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection it worth one point.
Answer: C,E
Explanation:
Foundry Agent Service is appropriate for implementing and operating specialized enterprise agents, including agents that use external tools and data sources. It provides managed agent execution, identity, tools, versioning, publishing, and support for agent-to-agent scenarios, making it well suited to the specialized-agent component of a multi-agent architecture.
The Microsoft 365 Agents SDK provides the integration layer for code-first agents that need to operate across Microsoft 365 surfaces. Microsoft documents that Agents SDK-based solutions can integrate with AI services such as Microsoft Foundry and can be deployed to channels including Microsoft 365 Copilot and Microsoft Teams .
The Assistants API is not the preferred current agent-development architecture, and the Foundry SDK alone does not provide the Microsoft 365 multi-channel integration required by the scenario
NEW QUESTION # 61
You are designing an AI strategy for Microsoft Dynamics 365 finance and operations apps. You are evaluating the use of Microsoft Copilot Studio to provide in-app help and guidance based on generative AI general knowledge.
You need to recommend which knowledge sources to include in the generative help and guidance agent. The solution must minimize the risk of generating inaccurate responses.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Custom knowledge sources # Must be uploaded to the agent; AI general knowledge # Must be disabled for the agent The requirement says the solution must minimize the risk of generating inaccurate responses. In generative AI business solutions, the best way to reduce hallucinations or loosely grounded answers is to rely on approved, scoped, domain-specific knowledge rather than broad general knowledge.
That means the agent should use:
custom knowledge sources that are intentionally provided to the agent
AI general knowledge disabled, so the agent does not answer from broad open-ended model knowledge when enterprise-specific guidance is needed In finance and operations scenarios, this is especially important because users may ask about:
internal business processes
financial controls
operational procedures
policy-specific guidance
company-configured ERP workflows
These are areas where inaccurate answers can create operational or compliance risk. Grounding the agent on uploaded custom sources provides a more controlled knowledge base.
Why custom knowledge sources must be uploaded
If the goal is in-app help and guidance for Dynamics 365 finance and operations apps, the safest and most reliable approach is to provide the agent with curated documentation such as:
internal process guides
approved SOPs
finance workflow documentation
policy documents
ERP-specific instructions
Uploading these custom knowledge sources ensures the agent answers from enterprise-approved material rather than from generic model knowledge.
From an AI governance perspective, this improves:
factual grounding
relevance
auditability
trustworthiness
alignment to company-specific processes
Why AI general knowledge must be disabled
General AI knowledge can be useful in broad assistant scenarios, but in a finance and operations help context it increases the risk that the agent may generate:
overly generic responses
answers not aligned to company policy
incorrect interpretations of internal process steps
content that sounds plausible but is not operationally correct
Because the question explicitly says to minimize the risk of inaccurate responses, the safer design is to disable general knowledge and constrain responses to approved custom sources.
NEW QUESTION # 62
A company has two Microsoft Power Platform environments named Devi and Prodi. A Microsoft Copilot Studio agent named Agent1 is built into a solution in the Devi environment.
You plan to deploy Agent1 to Prodi.
You need to make Agent1 available to the users in Prodi. The solution must minimize administrative effort.
What should you do?
Answer: C
Explanation:
Because Agent1 is built into a solution in the Dev1 environment and must be deployed to Prod1 with minimal administrative effort, the recommended ALM approach is to export the solution as a managed solution and import it into production.
Why A is correct:
Managed solutions are the standard choice for production deployment
They support cleaner governance and controlled changes in the target environment They minimize manual recreation and reduce admin overhead compared with rebuilding the agent Why the other options are not correct:
B). Export as an unmanaged solution is more appropriate for further development, not controlled production rollout C). Create a new agent manually in Prod1 increases effort and introduces inconsistency risk D). Share Agent1 with users in Prod1 does not deploy the solution into that separate environment
NEW QUESTION # 63
A company has an Azure environment that supports multiple business units.
The company plans to implement an AI solution that will perform sentiment analysis on customer product reviews.
You need to evaluate the potential cost of the solution to support return on AI investment (ROAI) analysis.
What should you use?
Answer: C
NEW QUESTION # 64
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