最新的Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) - AB-100日本語免費考試真題

Explanation:
Enforces deployment to only approved Azure regions # Azure Policy; Provides continuous compliance verification # Microsoft Defender for Cloud Why Azure Policy is correct The requirement is to enforce that Azure OpenAI resources can be deployed only in approved Azure regions.
That is exactly what Azure Policy is designed to do. Azure Policy allows organizations to create and assign rules that govern resource deployment and configuration. For regional restrictions, you can define a policy that permits deployments only in allowed locations and denies deployments elsewhere.
From an AI business solutions and cloud governance perspective, Azure Policy is the right preventive control because it acts at deployment time. It helps enforce organizational standards before noncompliant resources are created.
Typical policy use cases include:
restricting allowed Azure regions
enforcing approved SKUs
requiring tags
limiting resource types
ensuring security configuration standards
This is especially important for AI deployments where geography may affect:
regulatory compliance
data residency
internal governance
customer contract obligations
Why Microsoft Defender for Cloud is correct
The second requirement is to provide continuous compliance verification of the resources.
That points to Microsoft Defender for Cloud.
Defender for Cloud continuously assesses Azure resources against security and compliance standards. It provides visibility into resource posture, identifies misconfigurations, and tracks compliance status over time.
This makes it well suited for ongoing verification because it supports:
continuous assessment
compliance dashboards
security posture monitoring
recommendations for remediation
regulatory standard mapping
In enterprise AI deployments, this is critical because governance is not only about blocking bad deployments.
It is also about continuously validating that deployed resources remain compliant as environments evolve.
Why the other options are incorrect
Azure Monitor
Azure Monitor is used for telemetry, logging, metrics, and observability. It is not the primary service for enforcing allowed regions or for formal continuous compliance governance.
Microsoft Purview
Microsoft Purview focuses on data governance, data cataloging, classification, and compliance across data estates. It is not the main control for Azure resource deployment region enforcement.
Microsoft Sentinel
Microsoft Sentinel is a SIEM/SOAR platform for security analytics and threat detection. It is not the service used to enforce deployment locations, and it is not the primary tool for continuous Azure resource compliance verification.
Azure Policy for continuous verification
Azure Policy does provide compliance views, but in this question, the stronger mapping for continuous compliance verification is Microsoft Defender for Cloud, which is specifically designed for continuous security posture and compliance assessment across resources.
Expert reasoning
Use this exam pattern:
Prevent or restrict how Azure resources are deployed # Azure Policy
Continuously assess and verify cloud compliance posture # Microsoft Defender for Cloud

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.

說明：（僅 Fast2test 成員可見）

說明：（僅 Fast2test 成員可見）

說明：（僅 Fast2test 成員可見）

說明：（僅 Fast2test 成員可見）

說明：（僅 Fast2test 成員可見）

說明：（僅 Fast2test 成員可見）