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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
| Topic 3: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
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질문 # 66
You need to configure generative answers so the agent meets Fabrikam Inc. ' s business requirements Which solutions should you use? 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.
정답：
설명：
Explanation:
Trace each answer to its source # Instruct the agent to cite sources in knowledge settings; Retrieve from the centralized index # Configure Azure AI Search as the grounding data source; Use an enterprise- approved foundation model # Select a model from the Foundry model catalog.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Each requirement is controlled by a different configuration layer. Source traceability is a presentation and grounding requirement, so citations must be enabled or explicitly required for knowledge-based responses. That allows users to inspect the material used to support a policy answer; it is not achieved merely by choosing a model.
Centralized retrieval is provided by connecting the existing Azure AI Search vector index as the knowledge source. This preserves the curated index, semantic or vector retrieval behavior, and enterprise management of the policy corpus instead of copying documents into the agent. Model governance is handled in the prompt configuration by selecting the approved model from the Microsoft Foundry model catalog. Publishing does not automatically replace an unapproved model, and Azure AI Search does not enforce the foundation-model selection. Together, the three settings form a complete RAG path: Azure AI Search retrieves authoritative passages, the governed model produces the response, and citation settings expose provenance. The configuration should then be tested with representative policy questions to confirm that the response is grounded and that the cited source actually supports the answer. Study Guide alignment: Integrate and extend agents in Copilot Studio > Integrate agents with Azure > Configure generative answers by using Azure AI Search with Foundry; Configure custom prompts to use the Foundry model catalog.
Topic 2, 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. 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 summariz ed.
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.
질문 # 67
A solution containing an agent in Copilot Studio is moved across environments. The agent relies on configuration values that differ between environments and are managed as environment variables.
You must ensure the following:
* Configuration values are managed through environment variables that support 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.
정답：A,C,F
설명：
Environment variables separate deployment-specific configuration from the agent's solution components.
Therefore, external references-such as endpoint URLs, resource identifiers, and other environment- dependent settings-should be stored as environment variables. The same agent definition can then move through development, testing, and production while administrators provide the appropriate value in each target environment. This satisfies option C and is fundamental to Power Platform application lifecycle management.
Environment variables exposed inside Copilot Studio are read-only. Agent authors can consume their values but cannot edit them directly while authoring topics. Administrators or authorized makers must modify the current values through the appropriate Power Platform administrative or solution-authoring experience, making option F correct and option E incorrect.
When a non-secret environment variable is updated, an already published agent does not automatically begin using the new value. The agent must be republished so its published runtime configuration incorporates the change, which makes option D correct. Secret environment-variable values are handled differently because they can be retrieved dynamically at runtime.
Hard-coding values would undermine solution portability, while assuming every update takes effect immediately ignores the publishing requirement. Relevant study-guide areas are Use environment variables , Move agents across environments , and Implement ALM for agents . See Use variables in Copilot Studio .
질문 # 68
An agent in Copilot Studio is evaluated using a fixed test set and an automated evaluation method.
After running the evaluation, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?
정답：D
질문 # 69
An organization uses separate development and production environments for agents in Copilot Studio.
You create an agent in the development environment.
The agent must be deployed to production by using an application lifecycle management (ALM) process.
You must configure the solution strategy to meet the following requirements:
* Developers must be able to continue modifying the agent in the development environment.
* The production deployment must prevent direct modification.
* The agent must be exported from development and imported into production in a deployment-ready state.
Which solution type should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
An unmanaged solution is used as the development source. It allows developers to add, remove, and modify the agent and its related components as development continues. Microsoft identifies unmanaged solutions as the source for Power Platform assets and recommends using them only in development environments.
For deployment, the unmanaged development solution is exported as a managed solution . The resulting managed package is the deployment artifact imported into production. The original solution in development remains unmanaged, allowing the team to continue implementing changes and produce subsequent managed versions.
A managed solution creates a controlled solution layer in the production environment. Its components cannot be edited directly from within the managed solution, and components cannot be freely added or removed.
Managed properties can further restrict whether individual components permit customization. Organizations can also enable Block unmanaged customizations in Dataverse to prevent unapproved changes from being layered over managed production components.
The default solution and a standalone agent do not provide an appropriate controlled ALM package.
Therefore, the correct pattern is unmanaged in development # export as managed # import the managed solution into production .
Relevant study-guide area: Test and manage agents # Implement application lifecycle management for agents in Copilot Studio # Create a solution and add existing agents to a solution . See Solution concepts and Export and import agents using solutions .
질문 # 70
An agent uses a flow that calls an external service which can occasionally fail or time out.
When a failure occurs, the agent must meet the following requirements:
Must not terminate silently.
Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Solution: Configure run after conditions for failure paths.
Does the solution meet the goal?
정답：A
설명：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Configure run after is the control that routes execution to an error-handling action when the external-service action fails, times out, is skipped, or reaches another selected status. By configuring the notification action to run after failure and timeout, the flow no longer terminates silently and can send a message containing sanitized error context. The handler can then set a deliberate flow status, record a correlation ID, and provide the operator with the failed action and remediation path. This design should be paired with an appropriate retry policy based on whether the external operation is safe to repeat. For non-idempotent writes, automatic retry may create duplicates and should generally be disabled or protected with an idempotency key. Error notifications must not include tokens, secrets, or unrestricted payloads. Testing should deliberately produce an authorization failure, timeout, and service error to prove that each status enters the handler and that the notification itself has a fallback if its connector is unavailable. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
질문 # 71
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