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| Section | Objectives |
|---|---|
| Topic 1: Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions |
| Topic 2: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| Topic 3: Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Publishing and deploying copilots - Monitoring performance and analytics |
| Topic 4: Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics |
| Topic 5: Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
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NEW QUESTION # 81
Drag and Drop Question
A development team is reusing agents in Copilot Studio across development, test, and production environments.
You need to ensure the agents meet the following requirements:
- Reusable components must support governed promotion across
environments.
- Environment-specific configuration must not be hard-coded.
- Deployments must support automated, multi-stage approvals.
You need to configure the agents based on the business requirements.
Which configurations should you use for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Export as a component collection
Component Collections can be used to implement reusable components that support governed promotion across development, test, and production environments.
In Microsoft Copilot Studio, Component Collections act as shared containers that package together topics, actions, entities, or knowledge sources. Because these collections are stored natively within Microsoft Power Platform solutions, they natively support Application Lifecycle Management (ALM) pipelines for secure, governed environment deployment.
Box 2: Use connection references and environment variables
Box 3: Use an ALM pipeline
Power Platform pipelines natively support gated approval extensions. You can implement multi- stage approval workflows that halt a deployment request until your required business rules, automated validation, or stakeholders authorize the promotion to the next stage.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-export-import-copilot-components
NEW QUESTION # 82
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.
Drag and Drop Question
You need to implement tool usage in topics that meet the Blue Yonder design and governance requirements.
Which implementation method should you use for each requirement? To answer, move the appropriate implementation methods to the correct requirements. You may use each implementation method once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Add a Question node for the user to choose the tool.
Let the agent decide when to run a tool based on user input.
Box 2: Add an Adaptive card
Run a specific agent flow at a defined step in a topic.
You can run a specific agent flow at a defined step in your topic by using an Ask with Adaptive card node to collect user input, and then triggering the flow using the submitted data.
Box 3: Add a tool node
Use a connector action to retrieve data during a conversation.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-ask-with-adaptive-card
NEW QUESTION # 83
You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources. The evaluation threshold is set to 0.80.
You run the evaluation and review the following result for one test case:
Expected response: Digital products are non-refundable after download.
Actual response: Digital products cannot be refunded once downloaded.
Result: Pass
Score: 0.92
Reasoning: The actual response semantically matches the expected response.
Knowledge sources used: RefundPolicy_KB
Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The test passed because the score of 0.92 exceeds the configured threshold of 0.80 and the evaluation method recognizes semantic equivalence. The actual answer conveys the same policy meaning as the expected response even though the wording is different, so an exact textual match is unnecessary. The recorded knowledge source is RefundPolicy_KB, which is the expected grounding path; confirming that source behavior is therefore appropriate. No tool was expected or invoked, so investigating tool configuration would add noise rather than address a defect. A score below 1.00 is not itself a failure, and rewriting the expected answer to mirror every valid paraphrase would undermine a meaning-based evaluation. The result can be accepted while still being retained as regression evidence. Reviewers should confirm that the cited or retrieved policy content supports the non-refund statement and that the chosen threshold reflects the business risk. For fixed codes or legally prescribed phrases, exact match might be preferable, but this natural-language policy answer is correctly evaluated by semantic similarity. Study Guide alignment: Test and manage agents > Evaluate agent performance > Review test results.
NEW QUESTION # 84
A company plans to use Copilot connectors to ground answers from a third-party system for an agent in Copilot Studio.
To meet the business needs, responsibilities for configuring and using Copilot connectors must be separated based on the following requirements:
For tenant administration, the connector must be available at the tenant level.
For agent runtime behavior, answers must be grounded from authorized sources.
For builder configuration, you must add the connector to the agent.
You need to determine how Copilot connector setup responsibilities are handled across the tenant, runtime, and builder stages.
What should you configure for each requirement? To answer, move the appropriate configuration to the correct requirement. You may use each configuration once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 85
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON responses and requires authentication.
To meet the business needs, the solution must meet the following requirements:
* The agent calls a REST API during a conversation.
* The REST API call runs with proper authentication.
* The REST API response is available to the topic at runtime.
You need to configure the REST API to meet the requirements.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Call the API during the conversation # Configure a REST action and call it from the topic; Run with authentication # Build an authenticated connection for the API; Make the response available at runtime # Store the API response in a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The REST action is the executable component that issues the request when the topic reaches that node. An authenticated connection supplies the credential or token handling required by the endpoint; embedding secrets directly in a topic would be insecure and difficult to manage across environments. The returned JSON must then be assigned to a topic variable so downstream nodes can inspect fields, make decisions, format a response, or pass the value to another tool. Treating the API as indexed knowledge would be inappropriate because the requirement is a live runtime call, not search over a periodically indexed corpus. The builder should define the HTTP operation, endpoint, inputs, response schema, and output variable precisely. Authentication should use the narrowest appropriate identity model-user-delegated when actions must be attributable to the user, or maker
/service credentials only when the business design permits shared access. Error and timeout paths should be explicit so malformed JSON, authorization failures, and unavailable services do not produce silent or misleading responses. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Add REST APIs to an agent.
NEW QUESTION # 86
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