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| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Build and extend agents in Copilot Studio | 40–45% | - Implement advanced capabilities
|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
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NEW QUESTION # 87
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: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The agent needs a valid authenticated connection to the MCP server before it can discover and invoke the server's published tools. Copilot Studio supports the authentication methods exposed during MCP onboarding, including API key and OAuth 2.0. The choice must match the server: OAuth is appropriate for user-delegated authorization, while an API key is a shared secret mechanism. Publishing does not create credentials or make an unauthenticated server usable. A Power Platform connector used as real-time knowledge would serve a different retrieval pattern and would not replace the MCP tool contract. Generative answers also do not establish MCP connectivity; generative orchestration can select a tool only after that tool is correctly connected and described. The server and individual tools should have clear descriptions, typed inputs, and constrained permissions. Test the connection under the intended identity, confirm that only expected tools are visible, and implement error handling for consent, expired credentials, denied scopes, server unavailability, and invalid tool output. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure MCP tools.
NEW QUESTION # 88
A team uses environment variables to separate configuration from an agent so that the same solution can be moved between environments.
The team requires the following scenarios to be addressed:
An administrator updates a sensitive configuration value and needs the change to take effect at runtime without republishing the agent.
A builder needs to confirm a configuration value but must not be able to modify it from Copilot Studio.
An administrator updates a non-secret configuration value and needs the updated value to be used by the published agent at runtime.
Answer:
Explanation:
Explanation:
Sensitive value without republishing # Use a secret environment-variable type for runtime resolution; View but do not edit in Copilot Studio # Environment variables are read-only in Copilot Studio; Updated non-secret value used by the published agent # Republish the agent.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Secret environment variables are designed to resolve protected values, typically through Azure Key Vault, without embedding the secret in the agent definition. That makes them suitable when an administrator changes a sensitive value and runtime must obtain the current secret. Environment variables exposed to Copilot Studio are read-only there; administrators manage their definitions and current values through the Power Platform solution and environment controls, so a builder can inspect a reference without editing it on the topic canvas. For ordinary non-secret variables used by a published agent, a configuration change must be followed by republishing so the active runtime version consumes the updated value. Topic variables are conversation state and are not an ALM substitute for environment-specific configuration. Allowing every builder to edit environment variables from Copilot Studio would defeat separation of duties. The team should test the exact behavior for each variable type, because secret resolution and published configuration have different lifecycles, and should ensure target-environment service identities can read the referenced Key Vault secret. Study Guide alignment:
Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create and use environment variables.
NEW QUESTION # 89
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.
Answer:
Explanation:
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.
NEW QUESTION # 90
A company uses an agent flow that calls a connector action. The flow sends an administrative notification if the action fails or times out Administrators require the following configuration to help troubleshoot and manage failures:
* Handle failure and timeout outcomes explicitly.
* Continue execution after a failure is handled.
* Avoid retrying the failed action automatically.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
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: A,D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The connector action's retry policy should be set to None when the business requirement explicitly says not to retry automatically. Otherwise, platform retries can repeat a non-idempotent operation or delay the controlled failure path. The notification action must then use Configure run after so it executes when the connector action fails or times out and can include the available error details. This combination directly addresses the three requirements: explicit failure and timeout handling, continuation into the notification branch, and no automatic retry. A scope can be valuable for grouping a try block and evaluating its aggregate result, but grouping alone does not disable retries or define the notification's run-after conditions. Increasing the timeout changes how long the action waits and can make recovery slower without handling the error. The flow should also end with a deliberate final status, avoid exposing secrets in the notification, and distinguish transient dependency errors from validation failures. If the external operation is non-idempotent, a correlation or idempotency key should be used to prevent duplicate effects when an administrator later resubmits the run manually. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 91
A company integrates a Model Context Protocol (MCP) service that exposes ticket-management operations.
The MCP service requires authenticated requests and exposes multiple callable operations that must be selectively governed for agent use.
To meet the business needs, the MCP configuration must meet the following requirements:
Only the allowed capabilities must be callable during conversations.
Requests must succeed without embedding credentials in topic steps.
The agent must be configured to send requests to the correct backend.
You need to configure MCP tools for the agent.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 92
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