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| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
You will need to pass the Microsoft AB-620 exam to achieve the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) certification. Due to extremely high competition, passing the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) exam is not easy; however, possible. You can use ExamTorrent products to pass the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) exam on the first attempt. The Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) exam on the first attempt.
NEW QUESTION # 57
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: A,E
Explanation:
[A]
You can configure prompt modifications at the system and agent level in Microsoft Copilot Studio to satisfy your organization's Responsible AI (RAI) guidelines.
[E]
Scenario:
Compliance and security
Responsible AI content moderation filters must be enabled.
Reference:
https://microsoft.github.io/agent-academy/operative/06-ai-safety/
NEW QUESTION # 58
A company is preparing an agent flow so that it can be invoked by an agent during conversations.
The agent flow must meet the following requirements:
* The agent must be able to trigger the flow.
* The agent flow must be verified.
You need to prepare an agent flow so that it can be used by the agent.
In which order should you perform the actions to prepare the agent flow? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
* Create a new agent flow artifact in the environment.
* Configure the invocation trigger that allows the agent to call the agent flow.
* Configure the actions that implement the required behavior.
* Validate the agent flow behavior with representative test runs.
* Make the agent flow available for agent usage.
An agent flow must first exist in the target environment before its trigger or processing logic can be configured. The invocation trigger is then configured so Copilot Studio can initiate the flow during a conversation. For an agent-callable flow, this is typically the When an agent calls the flow trigger. The flow should also return any required results through the corresponding response action.
After establishing the trigger, the author adds the actions that implement the required business process, such as retrieving records, calling connectors, applying conditions, or updating enterprise systems. Representative test runs should then be performed to confirm that inputs are accepted correctly, actions execute successfully, errors are handled appropriately, and expected outputs are returned to the agent.
Once the flow has been verified, it can be published and made available to the agent as a tool. Exposing an incomplete or unverified flow prematurely could cause conversation failures or incorrect tool results.
Relevant study-guide area: Plan and configure agent solutions # Create and monitor agent flows in Copilot Studio # Create an agent flow . See Create an agent flow as a tool and Call an agent flow from an agent .
NEW QUESTION # 59
A solution containing an agent in Copilot Studio is moved across environments. The agent relies on configuration values that are different between environments and are managed as environment variables.
You must ensure the following:
- Configuration values are managed through environment variables that
supports ALM.
- Runtime behavior reflects updates to environment variable values.
You need to implement environment-variable usage that supports ALM and ensures correct runtime behavior.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B,D
Explanation:
[C]
Environment variables are read-only within Copilot Studio. Agent authors and builders cannot modify their values directly during topic authoring; changes must be done by administrators inside Power Apps to safeguard Application Lifecycle Management (ALM) integrity.
[D]
ALM Separation: Environment variables separate configuration settings from the application logic.
This means your agent's structure and topics stay exactly the same, while environment-specific parameters (such as API endpoints, URLs, or IDs) automatically adapt based on whether the solution is sitting in Dev, Test, or Production.
[F]
Copilot Studio caches environment variable values to optimize performance during conversation runtime. When an administrator updates a value in a target environment, the copilot will continue using the old cached value until a builder opens the agent and clicks Publish. This manual republication flushes the cache and pushes the new variable configuration into the live runtime environment.
Incorrect:
[Not A]
Hard-coding configuration values completely defeats the purpose of Application Lifecycle Management (ALM). It forces manual edits in every environment, introduces human error, and violates the core requirement of using environment variables.
[Not B]
Allowing builders to edit environment variable values directly within Copilot Studio during topic authoring can inadvertently bake "current values" into the solution package. This disrupts ALM pipelines, causes unintended configuration overwrites when moving solutions between Development, Test, and Production environments, and bypasses proper administrative controls.
[Not E]
Environment variable updates do not take effect immediately for all variable types at runtime. In Copilot Studio, the published version of an agent bakes in the current values. Whenever an administrator updates an environment variable, you must republish the agent for those changes to reflect in the live runtime experience.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-variables-about
NEW QUESTION # 60
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:
Explanation:
Requirement
Correct configuration
Tenant administration
Configure the Copilot connector in Microsoft 365 Admin Center.
Agent runtime behavior
Call the connector knowledge source.
Builder configuration
Add the Copilot connector as a knowledge source.
Copilot connector deployment separates administrative provisioning, agent configuration, and runtime retrieval. At the tenant-administration stage, an administrator configures the connector in the Microsoft 365 Admin Center . The administrator selects or creates the connector, defines its schema and semantic labels, and completes the process that indexes external content into Microsoft Graph. This makes the enterprise connection discoverable across the tenant.
The agent builder does not recreate the connector in Copilot Studio. Instead, the builder opens the agent's Knowledge page, selects Add knowledge , chooses the previously configured Copilot connector, and adds the required connection to the agent. Power Platform Admin Center is not the provisioning location for Microsoft 365 Copilot connectors; it is primarily used for environment administration and data-policy governance.
At runtime, the agent calls the configured connector knowledge source to retrieve indexed content and ground its generated response. Copilot connectors preserve source-level access controls, so the agent returns only information the current authenticated user is authorized to access. This provides secure semantic grounding and supports citations without directly calling the third-party system for each conversation.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Connect to enterprise knowledge sources # Connect to Copilot connectors . See Add Copilot connectors as a knowledge source and Copilot connectors versus Power Platform connectors .
NEW QUESTION # 61
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:
Explanation:
Requirement
Correct action
Stop additional failed executions while troubleshooting.
Disable the flow.
Process a failed execution after resolving the authentication issue.
Resubmit the run.
Validate whether the most recent executions succeeded immediately after resolution.
Review the Activity history.
Disabling the flow is the appropriate containment action because it prevents the trigger from creating additional executions while the authentication connection is investigated and repaired. Cancelling one run affects only that particular execution and does not prevent subsequent trigger events. Deleting the flow is unnecessarily destructive, while changing the trigger condition would alter the flow's intended business logic.
After repairing the Dataverse connection or authentication credentials, the failed execution should be resubmitted . Resubmission processes the previous run again using its recorded trigger inputs, allowing the corrected connection to complete the actions without manually recreating the original event. Microsoft permits failed flow runs to be selected and resubmitted from their run history.
The Activity history is the appropriate place to perform immediate validation. It shows individual flow executions, their status, duration, and action-level details. By contrast, Analytics presents aggregated performance information and may not update immediately; Microsoft notes that run-related analytics visualizations can take up to 30 minutes to reflect activity.
Relevant study-guide area: Plan and configure agent solutions # Create and monitor agent flows in Copilot Studio # Monitor agent flows and implement error handling . See Monitor your agent flows and Cancel or resubmit flow runs .
NEW QUESTION # 62
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