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| Section | Weight | Objectives |
|---|---|---|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
>> Microsoft AB-620 Originale Fragen <<
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121. Frage
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
- Consistency: Execute a fixed library of test cases containing
specific user prompts.
- Grounding: Measure the quality of the generated output against a
verified "golden" response.
- Comparison: Provide a performance delta between the current version
and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
Antwort: A
Begründung:
Using a predefined test set (often called a "golden dataset") and comparing results against expected outcomes across runs is the exact industry standard and best practice for this scenario.
In the context of Copilot Studio and LLM governance, this method is known as Regression Testing or Automated Evaluation.
Consistency: A fixed library of test cases (prompts) ensures that the agent is evaluated on the exact same baseline every time the knowledge base changes.
Grounding: By matching the real-time output against a verified "golden" response, you can use semantic similarity metrics (such as BERTscore, BLEU, or LLM-as-a-judge) to score how well the agent stayed grounded in the source material.
Comparison: Storing the evaluation scores of each run allows you to build a deployment dashboard. This gives you a clear performance delta (e.g., "Accuracy dropped by 4% after the June policy update") before approving the production release.
Reference:
https://agentic-engineering.swmansion.com/expanding-horizons/model-evaluation/
122. Frage
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.
Antwort: A,B
Begründung:
A . Use a Microsoft Graph connector to index the partner's travel advisory content. Microsoft 365 Copilot connectors-formerly called Microsoft Graph connectors-index non-Microsoft enterprise content into Microsoft Graph, making it available for semantic knowledge grounding and citations. Microsoft Learn: Copilot connectors D . Add the internal policy documents as a knowledge source. The SharePoint PDFs and policy documents should be connected as agent knowledge so generative answers can retrieve and summarize the relevant content. This is scalable and avoids manually maintaining document-specific topics. Microsoft Learn: SharePoint knowledge sources B violates the requirement to avoid manually authored Q&A topics. C could produce ungrounded responses from unapproved public sources and would not satisfy the airline's accuracy, security, or compliance requirements.
123. Frage
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.
Drag and Drop Question
You need to evaluate whether the current configuration decisions for the Blue Yonder Copilot agent comply with the company's security and governance policies.
Which compliance status should you assign to each configuration decision? To answer, move the appropriate compliance statuses to the correct configuration decisions. You may use each compliance status 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.
Antwort:
Begründung:
Explanation:
Box 1: Compliant
Anonymous access is allowed for general inquiries.
Box 2: Non-compliant
Should use only internal sources.
The agent must handle common inquiries such as:
Flight status
Booking and rebooking
Loyalty program questions
Travel policies and baggage rules
Box 3: Non-compliant
Responsible AI content moderation filters must be enabled.
Box 4: Non-compliant
User identity must be used for data access; shared or builder credentials must not be used.
124. Frage
You deploy an agent in Microsoft Copilot Studio that triggers a cloud flow to update customer records in Microsoft Dataverse.
You observe the following after deploying the agent:
Several runs fail because of a temporary authentication issue.
The flow continues to trigger and generate additional failed runs.
You must:
Stop additional failed executions while troubleshooting.
Process a failed execution after resolving the authentication issue.
Validate whether the most recent executions succeeded immediately after resolution.
You need to use the appropriate monitoring and management actions to restore normal flow operation and validate successful execution.
Which action should you perform for each requirement?
Antwort:
Begründung:
125. Frage
Drag and Drop Question
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
- Must retrieve the current balance of a customer account stored in
Dataverse.
- Must retrieve the real-time shipping status of an order that updates
throughout the day in Dynamics 365.
- Must answer questions based on the content of a static PDF policy
document.
- Must provide a welcome message that does NOT depend on enterprise
data.
You need to configure the agent to meet the requirements.
How should the agent retrieve the data? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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.
Antwort:
Begründung:
Explanation:
Box 1: Connect to a Power Platform connector
To enable your Copilot agent to fetch specific, real-time structured data (such as a customer's current balance) directly from Dataverse or Dynamics 365, you should connect to a Power Platform connector (or use native Dataverse plugins/tools).
Box 2: Connect to a Power Platform connector
Real-Time Data Access: Dynamics 365 data resides in Microsoft Dataverse. Power Platform connectors (like the Dataverse connector) fetch data live from the source, ensuring the shipping status is perfectly accurate and updated throughout the day.
Box 3: Upload a file to Agents Knowledge Base.
Box 4: Create a manual response in the topic.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-studio
https://www.matthewdevaney.com/copilot-studio-change-the-agent-welcome-message/
126. Frage
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