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NEW QUESTION # 47
Drag and Drop Question
A company has an ecommerce support portal that uses Microsoft Dataverse.
You are designing a Microsoft Copilot Studio agent for the portal. The agent must meet the following requirements:
- Respond with a default help message when the user input is unclear.
- Initiate external processes, such as retrieving the order status,
when users make specific requests.
Generative orchestration will be enabled for the solution.
You need to recommend a feature for each requirement.
What should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 48
Hotspot Question
A company has a Microsoft Power Platform environment.
You need to build two agents named Agent1 and Agent2. The solution must meet the following requirements:
- Agent1 must be extendable by using the Semantic Kernel and must
connect to multiple business apps and APIs.
- Agent2 must connect directly to data stored in Microsoft Dataverse
and must be embeddable in a Microsoft Power Apps canvas app.
What should you use to build each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/microsoft-365-copilot-canvas-app
NEW QUESTION # 49
Case Study 2 - Contoso, Ltd
Overview
Contoso, Ltd. is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance.
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American operations. The company designs and develops innovative products that have many patents and proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt AI solutions to help scale the company in preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted AI solutions.
Requirements
AI Adoption
The following executives will have specific responsibilities in the overall AI adoption:
- Chief Technology Officer (CTO): Select one Dynamics 365 Finance,
Dynamics 365 Supply Chain Management or Dynamics 365 Commerce prebuilt
AI agent and one custom Microsoft Copilot Studio AI agent to prioritize and deploy during the initial AI adoption phase.
- Chief Information Officer (CIO): Ensure that appropriate security
labels are assigned to the data used by the AI agents.
- Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the AI agents being deployed.
- Chief Information Security Officer (CISO): Discover and inventory AI
resources for auditing.
- Chief Executive Officer (CEO): Ensure that all solutions adhere to
industry-standard responsible AI practices.
All AI initiatives and agents will have a detailed business use case, a defined audience profile, and an estimated ROI that will compare the cost savings of the current process against the estimated costs of using the new AI solutions.
The company's research and development (R&D) department already has a custom Model Context Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt AI agent to use in Dynamics 365 Supply Chain Management. The CTO wants to view available agent templates to identify which agent will add the most business value.
Depending on which high-priority AI agents are identified, its agent capabilities must be previewed in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom AI agent requirements:
- The custom AI agent will use data from Dynamics 365 Supply Chain
Management to answer questions for the manufacturing team as a low-code solution.
- The custom AI agent will be accessible from within Microsoft Teams.
- The custom AI agent must be designed to eventually connect to other
agents that can be selected based on their description.
- The topics used in the custom AI agent will be selected based NOT on
a trigger phrase, but on a description of the purpose of the query, to
make the interactions more conversational.
- The custom AI agent must be able to answer questions about product
specifications by using existing technologies. The product
specifications are maintained by the R&D department.
- The custom AI agent must be integrated with and accessible from
Dynamics 365 Supply Chain Management.
- The custom AI agent must be able to use Dynamics 365 Supply Chain
Management business logic that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysis, reporting, and troubleshooting requirements:
- The CISO will audit all the AI solutions monthly for compliance and
security.
- The CFO will analyze all the AI solutions quarterly to compare the
estimated ROI against actual measured efficiencies and adoption. The
CFO will use the Copilot Studio agent usage estimator to perform this
analysis.
- The CISO wants to identify how much sensitive data was accessed for a given AI agent run and who accessed the data. Too much sensitive data accessed by a single user might indicate a high security risk.
- The CTO wants to track user feedback on the quality of the AI agent
responses during user interactions with the agents. Consistently poor
feedback will trigger an escalated reengineering discussion.
- The CEO wants a quarterly assessment of all the required metrics for
their specific responsibilities. The tools used for the assessments
must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
- The CFO wants to identify how many interactions with the AI agents
are abandoned on a given day as compared to resolved conversations. Too many abandoned sessions might indicate that Copilot Studio credits are being used inefficiently by end users.
What should you recommend to assist the CTO with the prebuilt agent selection process?
Answer: D
Explanation:
Agent management is the correct tool to use for viewing available agent templates and deciding which AI agent to use within Dynamics 365 Supply Chain Management.
Available Agent Discovery Tools
When working within Dynamics 365 Finance and Operations apps (including Supply Chain Management), the specifically designed interface for these tasks is Agent management.
Agent Management: A dedicated preview feature in Finance and Operations apps that allows users to discover, configure, and manage autonomous AI-powered agents.
Incorrect:
[Not B]
Copilot Studio: While this is the platform used to build and customize agents and track detailed analytics (like thumbs-up/down feedback), it is a standalone low-code tool rather than the primary discovery pane inside the SCM interface.
[Not C]
Lifecycle Services (LCS): Primarily used for environment management, deployments, and updates rather than the day-to-day discovery of specific AI agent templates.
[Not D]
Immersive Home: Typically refers to a broader Microsoft 365 or entry-level experience, not the specialized ERP agent management portal.
Scenario:
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt AI agent to use in Dynamics 365 Supply Chain Management. The CTO wants to view available agent templates to identify which agent will add the most business value.
The CTO wants to track user feedback on the quality of the AI agent responses during user interactions with the agents. Consistently poor feedback will trigger an escalated reengineering discussion.
Reference:
https://learn.microsoft.com/en-us/dynamics365/copilot/ai-get-started
NEW QUESTION # 50
You need to recommend a solution to integrate a Microsoft Copilot agent with a Microsoft Dynamics 365 Contact Center chat channel.
The agent must respond to customer questions and hand off the conversation to a live customer service representative when the customer requests an escalation.
What should you recommend?
Answer: C
Explanation:
To hand off a conversation from a Microsoft Copilot agent to a live representative in Dynamics
365 Contact Center, you must configure the Escalate system topic to include a Transfer conversation node. This ensures that when a customer requests an escalation, the agent seamlessly passes the full chat history and context to the live agent.
Steps to Configure the Escalate Topic
Open the Escalate Topic: In Microsoft Copilot Studio, navigate to Topics, select the System tab, and open the Escalate topic.
Add a Transfer Node:
Delete any default "no one available" messages if they do not fit your workflow.
Select the Add node icon (+), go to Topic Management, and select Transfer conversation.
Include Context (Optional): You can add a Private message to agent within the node. This message is only visible to the live representative and helps them quickly understand the customer's needs.
Save and Publish: Save your changes and publish the agent to apply the new escalation logic.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-hand-off
NEW QUESTION # 51
A company deploys agents that generate responses by using Azure OpenAI resources. The agents are deployed to both the United States and Europe.
You need to recommend a governance solution that meets the following requirements:
Enforces the deployment of the resources to only approved Azure regions Provides continuous compliance verification of the resources
Answer:
Explanation:
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 r estrictions, 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 ques tion, 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
NEW QUESTION # 52
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