在IT行業中工作的人們現在最想參加的考試好像是Microsoft的認證考試吧。作為被廣泛認證的考試，Microsoft的考試越來越受大家的歡迎。其中，AB-620認證考試就是最重要的一個考試。這個考試的認證資格可以證明你擁有很高的技能。但是，和考試的重要性一樣，這個考試也是非常難的。要通过考试是有些难，但是不用担心。Fast2test可以帮助你通过AB-620考试。
| Section | Objectives |
|---|---|
| Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior |
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Monitoring performance and analytics - Publishing and deploying copilots |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio |
想要通過Microsoft的AB-620考試並取得AB-620的認證資格嗎？Fast2test可以保證你的成功。準備考試的時候學習與考試相關的知識是很有必要的。但是，更重要的是，要選擇適合自己的高效率的工具。Fast2test的AB-620考古題就是適合你的最好的學習方法。這個高品質的考古題可以讓你看到不可思議的效果。如果你擔心自己不能通過考試，快點擊Fast2test的網站瞭解更多的資訊吧。
問題 #33
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 ensure that every AI-generated response from the agent in Copilot Studio includes a disclaimer that complies with the company's security and governance policies.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
答案：A,C
解題說明：
[B]
Using prompt modification in the Generative Answers node settings is an excellent and highly effective strategy for embedding compliance disclaimers into your agent's responses.
[A]
Adding a mandatory disclaimer to your greeting message is the best practice for agent governance. You can enforce this by configuring your Greeting System Topic and adding formal
"Output Rules" to the agent's core instructions.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
https://www.reddit.com/r/copilotstudio/comments/1pje5fy/how_do_you_handle_ai_disclaimers_in
_copilot/
問題 #34
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
答案：C,D
解題說明：
[A] Configure an HTTP action and invoke it from a topic during the conversation.
This is a correct and supported solution.
You can fulfill this requirement directly within Microsoft Copilot Studio by configuring an HTTP Request node (HTTP action) inside a topic.
Real-Time Execution: The HTTP action is explicitly executed at runtime during the live conversation when the specific topic is triggered.
Native Authentication Support: The HTTP Request node allows you to securely pass authentication tokens, API keys, or custom credentials directly within the request headers.
Handles Structured JSON: The node natively supports standard REST methods (GET, POST, PATCH, PUT, DELETE) and can ingest structured JSON data, allowing you to parse and store the returned values into agent variables for use later in the conversation.
[C] Add the REST API as a tool and call it either by using a topic or agent instruction.
Depending on how your agent architecture is managed, you could also fulfill this requirement using these alternative methods:
*-> REST API Tools (OpenAPI Plugins): You can upload an OpenAPI specification directly into Copilot Studio to register the REST API as a native REST API tool/action.
* Power Automate Flows: You can invoke a Power Automate cloud flow from a topic, using the HTTP connector inside the flow to retrieve and pass back the JSON data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
問題 #35
Drag and Drop Question
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
- The company has the following requirements for the application:
- The deployment workflow must follow a dependency driven sequence.
- The agent must be published before configuration values are
retrieved.
- End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
答案：
解題說明：
Explanation:
Step 1: Publish the agent
Based on the second requirement, the agent must be published first before any configuration values can be generated or retrieved.
Step 2: Retrieve the current agent configuration values
Once published, you can extract the necessary configuration properties (such as the Agent ID and Tenant ID) required to connect your applications and infrastructure.
Step 3: Configure and enable the agent's target integration channel
Before configuring the SDK code, you must enable the target channel (such as the Custom App or Mobile App channel) within Copilot Studio Channels to permit incoming external connection requests.
Step 4: Implement the Microsoft 365 Agents SDK in the app using the agent configuration With the channels enabled and configurations in hand, your developers can now write the code to implement the Microsoft 365 Agents SDK into your custom application.
Step 5: Validate the end-to-end conversation workflow in a test environment Following the third requirement, end-to-end validation must happen prior to production deployment. This step ensures the chat interface, authentication, and SDK pipelines function flawlessly.
Step 6: Deploy the web app to production
Once validation passes successfully, the final step is to push your custom application live to your production environment.
Reference:
https://www.linkedin.com/pulse/microsoft-365-agents-sdk-integrating-copilot-studio-custom-sokolov-dcche
問題 #36
An agent's flow-based tool intermittently fails when passed nested JSON objects as input parameters. What is the most likely cause?
答案：A
解題說明：
Power Automate flow triggers used as agent tools generally expect flat, well-defined parameter schemas; complex nested objects often need to be flattened, serialized as a string, or parsed with a Parse JSON action inside the flow.
問題 #37
A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must choose an evaluation method that meets the following requirements:
Use a fixed set of prepared interactions.
Determine responses against a predefined baseline.
Support consistent comparison across repeated test runs.
You need to determine the evaluation method that satisfies the evaluation requirements.
答案：
解題說明：
Explanation:
Fixed prepared interactions # Use a curated prompt list; Predefined baseline # Compare against predefined expected outcomes; Repeatable comparison # Use a consistent scoring evaluation matrix.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A curated prompt list creates the controlled input population required for repeatability. Predefined expected outcomes establish what a correct or acceptable response should contain, which lets the evaluator judge performance against a baseline rather than against a reviewer ' s memory. A stable scoring matrix ensures that repeated runs are interpreted under the same thresholds and dimensions. Live conversations and post-rollout feedback can enrich the test inventory, but they cannot replace a fixed regression set because the questions, users, and context change. Publishing status confirms deployment, not response quality. General impressions are similarly unsuitable for consistent comparison. The team should select the scoring method according to the response type: semantic comparison for valid paraphrases, exact match for immutable values, keyword checks for mandatory phrases, and custom criteria for compliance or domain quality. Versioning the prompt list, expected answers, rubric, agent version, and knowledge snapshot is essential; otherwise a changed test set can be mistaken for a change in agent performance. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method.
問題 #38
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面對職場的競爭和不景氣時期，提升您的專業能力是未來最好的投資，而獲得Microsoft AB-620認證對于考生而言有諸多好處。相對于考生尋找工作而言，一張AB-620認證可以倍受企業青睞，為您帶來更好的工作機會。但是如何輕松拿到AB-620認證哪？ Fast2test的AB-620考古題是通過考試最有效的方式之一，我們提供在線測試引擎的題庫，可以讓您模擬真實的考試情景，快速讓考生掌握知識點并應用。AB-620題庫資料包含真實的考題體型，100%幫助考生通過考試。
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