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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and Monitor Agentic AI Solutions | 20-25% | - Optimize agent performance - Implement error handling and logging - Configure monitoring and analytics - Publish and deploy agent solutions |
| Topic 2: Governance and Best Practices | 10-15% | - Ensure regulatory compliance - Implement data privacy and security controls - Apply responsible AI principles |
| Topic 3: Implement Agentic AI Solutions | 30-35% | - Set up agent-to-agent communication - Configure AI agents using Microsoft Copilot Studio - Configure security and compliance settings - Implement data connections and plugins |
| Topic 4: Design Agentic AI Solutions | 30-35% | - Define agent capabilities and boundaries - Identify business scenarios for agentic AI - Select appropriate AI models and services - Design multi-agent architectures |
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NEW QUESTION # 75
A company uses Microsoft Dynamics 365 Supply Chain Management.
You are designing an AI supply chain process that meets the following requirements:
Provides managers with AI-driven insights that surface key information from customer orders Helps planners use AI to anticipate future product needs more accurately You need to recommend which Microsoft Copilot features to include in the design.
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.
Answer:
Explanation:
Explanation:
Provide AI-driven insights from customer orders # AI Summaries with Copilot; Anticipate future product needs # Generative insights for Demand planning The first requirement is to give managers AI-driven insights that surface key information from customer orders .
That aligns best with AI Summaries with Copilot , because summaries are designed to extract and present the most important information from operational records in a concise, business-friendly way. In a supply chain context, this helps managers quickly understand:
* important order details
* exceptions or risks
* priority items
* fulfillment context
* notable changes or issues tied to customer orders
From an AI business solutions perspective, this is exactly the kind of feature used to reduce manual review effort and improve decision speed. Rather than reading through many order records, managers get a synthesized view of key information.
Why "Generative insights for Demand planning" is correct
The second requirement is to help planners anticipate future product needs more accurately .
This directly maps to Generative insights for Demand planning . Demand planning is the business function focused on forecasting future demand, identifying trends, and improving planning accuracy for inventory and supply decisions.
Generative insights in this area help planners by surfacing patterns, explaining forecast behavior, and supporting better forward-looking decisions about product demand.
From an agentic AI business solutions standpoint, this is the right fit because it applies AI to:
* forecast interpretation
* trend identification
* planning support
* future demand anticipation
* more accurate product need estimation
Why the other options are incorrect
Workload insights with Copilot
This is not the best match for surfacing key information from customer orders . It is more associated with operational workload visibility than customer-order summarization.
Microsoft Power BI
Power BI is useful for analytics and dashboards, but the question specifically asks for a Microsoft Copilot feature to anticipate future product needs. The direct feature match is Generative insights for Demand planning .
The Customer credit and collections workspace
This is focused on finance and collections activity, not on supply chain customer-order insight summarization.
Product information management
This manages product data and attributes, not AI-driven future demand anticipation.
The Supplier Communications Agent
This is related to supplier communication workflows, not demand forecasting for future product needs.
Expert reasoning
A quick exam shortcut here is:
* Surface key information from records/orders # think AI Summaries with Copilot
* Anticipate future demand/product needs # think Generative insights for Demand planning
NEW QUESTION # 76
You are designing a low-code AI business solution by using Microsoft Copilot Studio.
The solution must include an agent that automates tasks by simulating user interactions across third-party apps and websites, such as clicking buttons, entering text, and extracting information from screens.
You need to recommend what to include in the agent.
What should you recommend?
Answer: C
Explanation:
In Microsoft Copilot Studio, you can use the computer use tool (currently in preview) to build low- code agents that automate tasks by simulating human interactions on a Windows computer.
Key Capabilities of Computer Use
UI Interaction: Agents can interact with any system featuring a graphical user interface (GUI), including third-party websites and desktop applications.
*-> Human-like Actions: The tool enables the agent to click buttons, select menus, enter text into fields, and scroll, mimicking a human user.
No API Required: It is particularly useful for automating legacy systems or applications that lack direct API connectors.
Vision-Based Reasoning: Powered by Computer-Using Agents (CUA), the tool uses AI to "see" the screen, allowing it to adapt in real time if button positions or layouts change.
*-> Low-Code Setup: You define what the agent should do using natural language instructions rather than complex coding.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use
NEW QUESTION # 77
Hotspot Question
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.
Answer:
Explanation:
Explanation:
Box 1: Run test against the latest unpublished version of the agent
Test cases must validate the most recent changes to the agent before the agent is released.
To validate the most recent changes to a Microsoft Copilot Studio agent integrated with a Power Automate desktop flow before release, use the Copilot Studio Kit.
This specialized toolkit allows you to create and automate test cases that run against the test version of your agent rather than the published one.
Key Components for Validation
Copilot Studio Kit: Use this to build test sets (sets of questions and expected answers) and run them through a graphical interface.
Power Platform Pipelines: Integrate your tests into a deployment pipeline. The pipeline can be configured to automatically trigger these test runs whenever a deployment request is made, acting as a quality gate that pauses the release if tests fail.
*-> Agent Configuration: In the kit, specify the development environment as the source so that the tests interact with your latest unpublished changes.
Desktop Flow Verification: Since your agent uses desktop flows, use the Response match and Plan validation test types within the kit to ensure the agent correctly triggers the integrated flow tools as part of its execution plan.
Box 2: Use the Power Automate for desktop console
The flow must be validated as part of the agent's orchestration.
To ensure your Microsoft Power Automate desktop flow is correctly validated for orchestration within a Microsoft Copilot Studio agent, follow these steps using the Power Automate for desktop console and the Copilot Studio designer:
1. Validate via Power Automate for Desktop Console
Run a Local Test: Open the Power Automate for desktop console, select your flow, and click the Start button to run it as a "local attended" flow. This confirms that the logic and UI selectors work correctly in your environment.
Check Variables: Ensure that any Input and Output variables are properly defined. These are critical for passing data between the cloud-based agent and the desktop machine.
Monitor Connectivity: Use the Troubleshooter within the console (under Help > Troubleshooter) to diagnose any connectivity issues with the cloud runtime, ensuring the agent can trigger the desktop flow.
2. Validate the Integration in Copilot Studio
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/kit-automate-test-deploy
https://learn.microsoft.com/en-us/power-automate/desktop-flows/test-desktop-flows
NEW QUESTION # 78
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
NEW QUESTION # 79
Your company is deploying customer support agents in Microsoft Foundry for a claims business group that uses sensitive grounding data The group has a production project that connects to a data source by using a project-scoped connection that uses Microsoft Entra pass through authentication.
The solution has the following requirements:
* For grounding data changes, the company must log data ingestion events, sensitivity label changes, and data movement across geographical regions. Audit records must preserve traceability for investigations, and only capture metadata.
* The solution must use a DataZone deployment in a Foundry resource located in the United States for the Azure Direct.
Answer:
Explanation:
Explanation:
* DataZone deployment # Yes
* Full grounding documents in audit log # No
* Microsoft Entra passthrough authentication # Yes
A DataZone deployment created in a Microsoft Foundry resource located in the United States processes prompts and responses within the United States data zone . Microsoft states that DataZone deployments restrict inference processing to the specified data zone, unlike Global deployments, which can process requests across supported Azure geographies. Therefore, the described US DataZone deployment satisfies the prompt-and-response processing residency requirement.
The second statement is No . The requirement explicitly specifies that audit records must capture metadata only while preserving traceability of ingestion events, sensitivity-label changes, and geographical data movement. Storing the complete grounding documents would place actual sensitive content in the audit trail and directly violate that requirement. Audit information should therefore identify relevant events and contextual metadata without duplicating the grounding content itself.
The third statement is Yes . Microsoft Entra identity passthrough allows access to be evaluated using the individual user ' s identity and permissions , rather than a common project credential. Microsoft recommends user-token/Entra passthrough specifically when sensitive data sources require greater per-user access control.
NEW QUESTION # 80
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