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| Section | Weight | Objectives |
|---|---|---|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
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NEW QUESTION # 105
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 company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Does the solution meet the goal?
Answer: B
Explanation:
Correct:
* Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
To fulfill all the requirements in the best way, you must configure the custom instructions directly inside the specific Generative Answers node properties within that targeted topic.
By default, editing custom instructions at the global agent level or the Conversational boosting system topic applies globally. To scope formatting changes to only one topic while keeping configured data sources and security intact, you must override the instructions at the node level.
Incorrect:
* Add instructions in the custom prompt tool to restrict connector access during runtime.
* Configure the custom prompt tool at the topic level so that other topics are not affected.
* Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
NEW QUESTION # 106
A company needs to ground an agent's answers in Copilot Studio by using live enterprise data from a supported system through a Microsoft Power Platform connector.
To meet the business requirements, the builder must:
* Authenticate by using a valid connection.
* Add the connector as a real-time knowledge source.
* Select the tables used for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for 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:
The process begins from the agent's Overview or Knowledge page, or from the properties of a generative answers node, by selecting Add knowledge . This opens the catalog of supported knowledge-source types.
The builder must then select the required Power Platform connector from the available real-time connectors, using the advanced selections if the connector is not displayed in the featured list.
Authentication must occur before table selection because Copilot Studio needs an authorized connection to access the target system and discover its available schema. The builder signs in and either creates a new connection or reuses a valid existing connection. After selecting the target location and completing authentication, Copilot Studio presents the tables or entities available through that connection.
The builder then selects only the tables required for knowledge grounding. Limiting the selection improves relevance and reduces unnecessary exposure of enterprise data. After optionally supplying the knowledge- source name, description, synonyms, or glossary definitions, the builder selects Add to agent to complete the configuration.
This is a real-time knowledge integration: connector requests retrieve current data at runtime instead of treating the connector as a static uploaded document. Relevant study-guide topics are Connect to Microsoft Power Platform connectors , Configure advanced responses with custom knowledge sources , and Connect to enterprise knowledge sources . See Add Power Platform connectors as real-time knowledge .
NEW QUESTION # 107
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: ≥20%
Response time: 90% of queries answered within 30 seconds
Accuracy: ≥95% for known FAQs
CSAT: ≥85% 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 deploy the Blue Yonder Copilot agent to the public website and Microsoft Teams while ensuring compliance with the company's security and Responsible AI requirements.
Which two actions should you perform before making the agent available on both channels? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
Under Compliance and Security, the requirements state: "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." Setting this up at the system level ensures broad, consistent compliance without violating the constraint against manual topic-level edits.
Under Compliance and Security, the case study explicitly states: "Power Platform DLP policies must be enforced to block unauthorized data flows." DLP (Data Loss Prevention) policies are environment-level safeguards configured before deployment to restrict data movement between custom/REST connectors and non-compliant channels/destinations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/publication-fundamentals-publish-channels
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-dlp
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-generative-answers
NEW QUESTION # 108
A company is designing an agent flow that includes human in the loop stages during execution.
The company requires that the agent flow perform the following actions:
Must wait for a human decision before it resumes.
Must collect information and then continue execution.
You need to configure the flow behavior.
Answer:
Explanation:
Explanation:
Approval stage # Wait for a response and branch according to the decision; Information-collection stage # Wait for a response and capture the submitted inputs.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: An approval is a decision gate. The flow must pause until the reviewer responds, then branch to the appropriate approved, rejected, or other outcome path. Information collection also pauses, but its purpose is to capture supplied values and make them available to later actions in the same run. Sending a request or notification and continuing immediately would break both requirements because downstream processing could occur before the human response exists. The action should have a defined timeout and an escalation or cancellation path so a missing response does not leave the process suspended indefinitely. The flow should store the response, responder identity, timestamp, and any comments needed for audit. Sensitive information should not be requested through an inappropriate channel and should be protected in logs and variables. Testing must cover approval, rejection, corrected information, timeout, and unauthorized-responder cases. This produces a controlled human-in-the-loop design rather than a simple alert that has no effect on execution. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Create a human-in-the-loop agent flow.
NEW QUESTION # 109
A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?
Answer: D
Explanation:
To establish an ALM-ready custom solution from the very beginning, you should Create a new custom solution from the Solutions area.
When building an agent in Microsoft Copilot Studio that requires proper Application Lifecycle Management (ALM), the end-to-end framework consists of three sequential lifecycle actions:
1. Initiate inside a Solution: Navigate to Solutions, select Create a new solution, define a custom publisher/prefix, and create or add your agent inside this container. This ensures that the agent and all its dependencies (topics, prompts, variables) are scoped to that specific package from day one instead of landing in the Default Solution.
2. Package and Move: Once your development phase passes validation, you Export the custom solution as a managed solution from your Development environment.
3. Deploy to Target: You then Import it into the Test and Production environments. Using a managed solution locks the components in downstream environments, preventing unmanaged customization drift and maintaining environment stability.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-overview
NEW QUESTION # 110
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