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| Section | Weight | Objectives |
|---|---|---|
| Build and extend agents in Copilot Studio | 40–45% | - Implement advanced capabilities
|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
>> AB-620 Reliable Test Answers <<
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NEW QUESTION # 94
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Configure the custom prompt tool at the topic level so that other topics are not affected.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
To fulfill all the requirements in the best way, you must configure the custom instructions directly inside the specific Generative Answers node properties within that targeted topic.
By default, editing custom instructions at the global agent level or the Conversational boosting system topic applies globally. To scope formatting changes to only one topic while keeping configured data sources and security intact, you must override the instructions at the node level.
Incorrect:
* Add instructions in the custom prompt tool to restrict connector access during runtime.
* Configure the custom prompt tool at the topic level so that other topics are not affected.
* Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
NEW QUESTION # 95
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?
Answer: C
Explanation:
This result means the outcomes successfully isolate which portions of the agent's functional scope require remediation.
When an automated evaluation yields perfectly consistent results-where the same three interactions fail every time and all others pass-it indicates that the evaluation environment is stable and free of random noise.
High Determinism: The agent behaves predictably under test conditions.
Eliminates Flakiness: You can rule out intermittent network errors or transient system glitches.
Specific Scope: The failures point directly to specific broken intents, missing data, or faulty logic pathways.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results
NEW QUESTION # 96
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: D
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 # 97
A company is building an agent in Copilot Studio topic that must retrieve real-time status information from an external REST API using a Send HTTP request node.
To meet the business needs, the topic must meet the following requirements:
The request must include the required authentication header.
The request must call the endpoint using the correct HTTP method.
The response must be configured with an appropriate response data type based on a schema and saved so the topic can reuse the returned values.
You need to configure the Send HTTP request node.
Which configuration should you use for each requirement? To answer move the appropriate configuration to the correct requirements.
Answer:
Explanation:
Explanation:
Authentication # Add the required authentication headers; Retrieve data # Set the HTTP method to GET; Structured reusable response # Select a JSON/Record response type, define the schema, and save the response to a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The Send HTTP request node must express the API contract directly. If the service expects a token or key in a header, the required header is added using a protected variable or connection-derived value rather than hard-coded secret text.
GET is the correct method for retrieving status without changing the external resource; PATCH would imply a partial update. Selecting a structured JSON or Record response type and defining its schema allows Copilot Studio to type the returned fields. Saving that response to a topic variable makes values available for conditions, formatting, adaptive cards, or later tool calls. The schema must reflect optional fields, arrays, and nested records accurately; otherwise valid responses can be rejected or fields can appear empty. The topic also needs branches for non-success status codes, timeouts, invalid JSON, and authentication failure. Where a reusable connector or REST tool already exists, that managed abstraction may be preferable to embedding HTTP details in multiple topics, but the node configuration shown is correct for the stated direct-request requirement. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure advanced agent responses with API and Send HTTP requests.
NEW QUESTION # 98
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 # 99
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