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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 3: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
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NEW QUESTION # 69
Drag and Drop Question
A company uses an agent in Copilot Studio in production and requires centralized monitoring for operational visibility and troubleshooting.
The team decides to use Application Insights as the monitoring solution.
An agent activity is not included in the monitoring data.
You need to enable monitoring the agent by using Application Insights.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create or identify the Application Insights destination for telemetry You need an active Azure Application Insights resource.
You must copy its Connection String or Instrumentation Key.
Step 2: Configure which monitoring destination the agent uses
Paste the copied connection string into the agent's advanced settings.
Step 3: Enable monitoring for the agent
Toggle the monitoring feature to "On" within the agent's configuration panel.
Step 4: Publish the agent so the monitoring configuration takes effect
Changes do not apply to production until the agent is published.
Publishing pushes the telemetry setup to the live environment.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-bot-framework-composer-capture-telemetry
NEW QUESTION # 70
Case Study 1 - Blue Yonder Airlines
Background
Blue Yonder Airlines is a global carrier headquartered in Los Angeles, California, operating domestic and international flights. The company serves millions of passengers annually through its website, mobile app, and call centers. To improve customer service efficiency and reduce call center volume, Blue Yonder is deploying an AI agent in Microsoft Copilot Studio.
The agent will handle customer inquiries across multiple channels - web chat, mobile app, and Microsoft Teams (for internal support staff). It will answer questions, retrieve data from enterprise systems, and escalate to human agents when needed.
The project is led by a cross-function team:
- Product manager: Defines requirements and success metrics.
- Lead agent author: Designs topics, intents, and generative behavior.
- Flow designers: Build agent flows and integrations.
- IT/security and compliance: Oversees identity, data protection, and Responsible AI (RAI) compliance.
Current environment
Channels
Public website: Embedded web chat
Mobile app: In-app chatbot
Microsoft Teams: Internal support agent access
Identity and access
Customers: Anonymous access for general inquiries (e.g., flight status, baggage policy).
Authentication is required for personal data access (e.g., bookings, loyalty points).
Internal staff: Authenticate via Microsoft Entra ID.
Data sources
Reservation and Ticketing System (internal): REST API, no prebuilt connector with custom enterprise database.
Flight Status and Weather APIs (external): REST APIs with API keys.
Customer Support Knowledge Base: SharePoint library with PDFs and policy documents.
Loyalty Program Data: Stored in Dynamics 365 and Dataverse.
Travel Advisory Content: Uses REST API with partner services.
Integration mechanisms
Custom connectors must be used for internal APIs that lack prebuilt connectors.
HTTP request nodes may be used for lightweight external APIs.
Knowledge sources must be used for unstructured content.
Agent flows must be used to encapsulate reusable logic (e.g., rebooking).
Business requirements
Omnichannel support
Deploy the agent across web, mobile, and Teams with a consistent user experience. The Teams deployment must also support internal staff.
Self-service capabilities
The agent must handle common inquiries such as:
- Flight status
- Booking and rebooking
- Loyalty program questions
- Travel policies and baggage rules
Human escalation
If the agent cannot resolve an issue or the user requests help, it must:
- Escalate to a human agent.
- Transfer the conversation transcript and relevant context.
- Redact any sensitive personal data before escalation.
Knowledge integration
The agent must use scalable methods for knowledge integration and must not rely on manually authored Q&A topics for each document.
Performance metrics
First-contact resolution: +25%
Tier-1 call deflection: โฅ20%
Response time: 90% of queries answered within 30 seconds
Accuracy: โฅ95% for known FAQs
CSAT: โฅ85% for AI-handled interactions
Technical requirements
Platform constraints
No custom code is permitted; only Copilot Studio's built-in tools may be used.
All backend logic must be implemented using agent flows.
Markdown must be used for formatting (e.g., bold, bullet points); HTML is not supported.
Authentication
Sign-in is required for personal data access.
Anonymous access is allowed for general inquiries.
User identity must be used for data access; shared or builder credentials must not be used.
Compliance and security
Power Platform DLP policies must be enforced to block unauthorized data flows.
Responsible AI content moderation filters must be enabled.
Prompt modifications must be added to enforce tone, disclaimers, and refusal behavior.
Disclaimers must be applied consistently across all generative responses. Manual edits to individual topics must be avoided.
Monitoring and maintenance
All conversations and actions must be logged for auditing.
Weekly reviews of transcripts and metrics must be conducted.
Topics, flows, and knowledge sources must be updated as policies or systems evolve.
Issues and constraints
API rate limits: External APIs (e.g., flight status) have usage limits. Agent flows must handle retries and caching to avoid exceeding quotas.
Knowledge base limits: Copilot Studio has limits on the number and size of indexed documents.
Large files must be split or summarized.
Generative answer risks: Generative responses must be constrained to avoid policy violations.
Prompt modifications and filters must be used to enforce tone, safety, and compliance.
User input variability: Users phrase questions in diverse ways. Topics must include varied trigger phrases and fallback handling.
Authentication UX: The agent must clearly explain when sign-in is required and handle transitions smoothly across channels.
Problem statement
Blue Yonder Airlines must deploy a secure, scalable, and policy-compliant AI agent using Microsoft Copilot Studio. The agent must deliver accurate, helpful, and safe responses across multiple channels, integrate with enterprise systems, and support both anonymous and authenticated users. It must adhere to strict data protection and Responsible AI standards while improving customer service efficiency and satisfaction.
You need to configure the agent in Copilot Studio to use internal and external partner knowledge sources to answer user questions about the airline services.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
[A] External
Scenario:
Data sources include:
Travel Advisory Content: Uses REST API with partner services.
Configuring a Microsoft Graph connector to index your external data and utilizing REST APIs are highly effective and distinct strategies for supplying knowledge and actions in Microsoft Copilot Studio.
[D] Internal
Scenario:
The agent will handle customer inquiries across multiple channels - web chat, mobile app, and Microsoft Teams (for internal support staff). It will answer questions, retrieve data from enterprise systems, and escalate to human agents when needed.
Data sources include: Customer Support Knowledge Base: SharePoint library with PDFs and policy documents.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors
NEW QUESTION # 71
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The company has the following requirements for the application:
The deployment workflow must follow a dependency driven sequence.
The agent must be published before configuration values are retrieved.
End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
* Publish the agent.
* Configure and enable the agent's target integration channel.
* Retrieve current agent configuration values.
* Implement the Microsoft 365 Agents SDK in the app using the agent configuration.
* Validate the end-to-end conversation workflow in a test environment.
* Deploy the web app to production.
Publishing creates the runtime version required for channel integration. Microsoft states that channels are configured after an agent has been published at least once. After enabling the Web app or Native app channel, retrieve the Agents SDK connection string-or the Environment ID, Tenant ID, and schema name when using traditional configuration. These values are then supplied to the Copilot Studio client implementation in the custom application. End-to-end testing must confirm authentication, connection, message exchange, conversation continuity, tools, and error handling before the application is promoted to production. Microsoft Learn: Integrate with web or native apps using the Microsoft 365 Agents SDK
NEW QUESTION # 72
A company integrates a Model Context Protocol (MCP) service that exposes ticket-management operations.
The MCP service requires authenticated requests and exposes multiple callable operations that must be selectively governed for agent use.
To meet the business needs, the MCP configuration must meet the following requirements:
Only the allowed capabilities must be callable during conversations.
Requests must succeed without embedding credentials in topic steps.
The agent must be configured to send requests to the correct backend.
You need to configure MCP tools for the agent.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 73
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: To export, import, and manage agents between environments, you need to create and use a custom solution.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm
NEW QUESTION # 74
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