AB-100 무료 덤프문제 온라인 액세스

A company uses a fine-tuned Microsoft Foundry model that requires frequent updates as new customer feedback becomes available.
You need to design an application lifecycle management (ALM) process that meets the following requirements:
Data changes must be tracked and versioned.
The model must be retrained consistently by using approved training data.
Which two actions should you include in the design?
NOTE: Each correct selection is worth one point.

• A.Create a content filter.
• B.Store the training data in Azure Files.
• C.Associate the storage location to the fine-tuning job.
• D.Upload the training data to Microsoft Foundry data files.
• E.Store the training data in Azure Blob Storage that has version control enabled.

What should you recommend to assist the CTO with the prebuilt agent selection process?

• A.Lifecycle Services (LCS)
• B.Copilot Studio
• C.Immersive Home
• D.Agent management

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.

• A.Copilot Service workspace
• B.Copilot in Customer Service
• C.Copilot in Field Service
• D.the Dynamics 365 Field Service mobile app
• E.Dynamics 365 Customer Service
• F.Copilot in Outlook

You are creating validation criteria for a custom generative Al model that produces business reports based on internal enterprise data. You need to Assess whether the model ' s outputs are appropriate and meaningful (or the business reports. Which metric should you use?

• A.alignment of the output to domain specific tasks
• B.the average system resource usage during inference
• C.the model training duration
• D.the number of active users interacting with the model

A company deploys a Microsoft Copilot Studio agent that integrates with a Microsoft Power Automate desktop flow.
You need to recommend a testing solution that meets the following requirements:
Test cases must validate the most recent changes to the agent before the agent is released.
The flow must be validated as part of the agent ' s orchestration.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

Explanation:
Validate most recent changes # Run tests against the latest unpublished version of the agent; Validate the flow as part of orchestration # Add the flow to the agent as a tool Why the first selection is correct The requirement says the company must validate the most recent changes to the agent before the agent is released. That means testing must happen on the newest working version that has not yet been published to production.
So the correct recommendation is:
Run tests against the latest unpublished version of the agent
This is the safest and most appropriate pre-release testing pattern because it allows the team to:
verify recent changes before users see them
catch regressions early
validate orchestration logic in a controlled state
reduce production risk
From an AI business solutions perspective, pre-release testing is critical for Copilot agents because even small changes in prompts, tools, orchestration, or data connections can affect:
response quality
workflow behavior
escalation paths
compliance behavior
user trust
Testing unpublished changes ensures that governance and quality assurance happen before release, not after deployment.
Why the second selection is correct
The question also requires that the Power Automate desktop flow be validated as part of the agent ' s orchestration.
That means the flow must participate directly in the agent's runtime action path. The correct way to do that is:
Add the flow to the agent as a tool
When a flow is added as a tool, the agent can invoke it during its orchestration. This allows test cases to validate not only the conversational layer, but also the actual execution of the flow inside the end-to-end agent behavior.
From an agentic AI design perspective, tools are how agents connect reasoning with action. If the flow is meant to be part of orchestration, it must be exposed to the agent in a way that allows the agent to call it during task execution.
That is the correct enterprise pattern for validating integrated behavior.