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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test, deploy, and manage agents20–25%- Test and validate agent performance
  • 1. Measure accuracy, relevance, and safety
  • 2. Debug and resolve errors or unexpected behavior
  • 3. Create test cases and evaluation datasets
- Deploy and manage agent lifecycle
  • 1. Monitor usage, performance, and health
  • 2. Prepare solutions for deployment
  • 3. Implement application lifecycle management (ALM)
  • 4. Update, version, and retire agents
Plan and configure agent solutions30–35%- Plan an agent solution
  • 1. Plan channels and deployment options
  • 2. Evaluate security, compliance, and data privacy considerations
  • 3. Define responsible AI and governance strategy
  • 4. Identify business requirements and use cases
- Configure agent foundations
  • 1. Set up environment variables and configuration settings
  • 2. Configure knowledge sources and data connections
  • 3. Design agent identity, personality, and instructions
  • 4. Define topics, triggers, and conversation flows
Build and extend agents in Copilot Studio40–45%- Develop agent flows and logic
  • 1. Implement conditional logic and branching
  • 2. Design adaptive cards and user interfaces
  • 3. Use Power Fx expressions and functions
  • 4. Create and modify conversation flows
- Implement advanced capabilities
  • 1. Customize models and prompt engineering
  • 2. Configure retrieval-augmented generation (RAG)
  • 3. Add tools, actions, and automation
  • 4. Implement computer-use and advanced action agents
- Integrate with services and systems
  • 1. Connect to APIs, custom connectors, and Dataverse
  • 2. Integrate with Microsoft Foundry and MCP servers
  • 3. Implement multi-agent solutions and orchestration
  • 4. Connect to Microsoft 365, Azure, and external enterprise systems

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q29-Q34):

NEW QUESTION # 29
A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?

Answer: E

Explanation:
Requiring grounding prevents the agent from generating an answer when relevant content isn't retrieved. Configuring Azure AI Search as the knowledge source ensures enterprise indexed content supplies the grounding context, while the response is generated through the configured Microsoft Foundry model. Microsoft also documents that disabling Allow ungrounded responses restricts answers to configured knowledge sources.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
https://learn.microsoft.com/en-us/microsoft-copilot-studio/faqs-generative-answers
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/retrieval-augmented-generation


NEW QUESTION # 30
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?

Answer:

Explanation:


NEW QUESTION # 31
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.

Answer:

Explanation:

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.


NEW QUESTION # 32
A company is building an agent topic in Copilot Studio. The topic must meet the following requirements:
* Collect structured user input in a single step.
* Store the submitted values for use later in the conversation.
You need to configure the topic based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.

Answer: D,E

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The Ask with Adaptive Card node is the interactive topic element that waits for a card submission and stores the user's responses as variables. The card must contain input controls with unique identifiers and an Action.Submit button so the host returns the collected values to Copilot Studio. A Message node can display a card, but it is not the correct choice when the topic must collect and bind structured input in one step. Action.Execute is not consistently supported across Copilot Studio channels; Microsoft documents host-specific schema limits, and the default web chat does not support that action. Using the latest schema indiscriminately can therefore break portability. The card should target the lowest schema version required by every intended channel, validate required fields, and provide clear labels and error messages. After submission, the topic variables should be typed and checked before they are passed to tools or flows. Testing is required in each production channel because rendering and supported Adaptive Card features differ between Teams, web chat, and customer-service hosts. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure adaptive cards; Manage variables.


NEW QUESTION # 33
A company must enable an agent in Copilot Studio to execute operations exposed by an external MCP server.
The MCP server publishes callable tools and requires authentication.
The agent must be able to invoke MCP tools during conversations.
You need to configure MCP tools so the agent can execute MCP tool calls.
What should you do?

Answer: A


NEW QUESTION # 34
......

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