Fast2test의 Microsoft 인증 AB-620시험덤프공부자료 출시 당시 저희는 이런 크나큰 인지도를 갖출수 있을지 생각도 못했었습니다. 저희를 믿어주시고 구매해주신 분께 너무나도 감사한 마음에 더욱 열심히 해나가자는 결심을 하였습니다. Microsoft 인증 AB-620덤프자료는Fast2test의 전문가들이 최선을 다하여 갈고닦은 예술품과도 같습니다.100% 시험에서 패스하도록 저희는 항상 힘쓰고 있습니다.
| Section | Objectives |
|---|---|
| Topic 1: 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 |
| Topic 2: Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Topic 3: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Topic 5: Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Publishing and deploying copilots - Monitoring performance and analytics |
Fast2test의 Microsoft인증 AB-620시험덤프자료는 IT인사들의 많은 찬양을 받아왔습니다.이는Fast2test의 Microsoft인증 AB-620덤프가 신뢰성을 다시 한번 인증해주는것입니다. Microsoft인증 AB-620시험덤프의 인기는 이 시험과목이 얼마나 중요한지를 증명해줍니다. Fast2test의 Microsoft인증 AB-620덤프로 이 중요한 IT인증시험을 준비하시면 우수한 성적으로 시험을 통과하여 인정받는 IT전문가로 될것입니다.
질문 # 73
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.
정답：B,C
설명：
[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
질문 # 74
A company configures an agent flow that interacts with multiple systems to complete user requests.
The company must integrate external services, retrieve data, and notify users as part of the same automated flow run. To support this scenario, the agent flow must be able to do the following:
Call an external API.
Retrieve stored data from a supported internal data source.
Send a Teams message.
You need to select a connector or action type for each requirement.
What should you use? To answer, move the appropriate connectors or actions to the correct requirements. You may use each connector or action 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：
질문 # 75
You need to ensure that performance-related questions are handled in accordance with Fabrikam Inc.'s defined architecture and business requirements Which capability should Operations Concierge use?
정답：D
설명：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A Fabric Data Agent is the capability designed for questions that must be answered from governed analytical data. Fabrikam's backlog, SLA-risk, parts-shortage, and dispatch-delay measures already reside behind a Fabric semantic model, so delegating these requests to the data agent preserves the business definitions, relationships, and security applied in Fabric. The result can be returned in a structured form suitable for weekly operational review rather than being estimated from general model knowledge. A Foundry agent is already assigned to summarization and classification of long-form text; it is not the authoritative source for operational KPIs. An MCP server is appropriate when the user must perform a transaction, such as creating a parts request, but the question asks for performance information rather than an update. Azure AI Search supports document retrieval for policies and procedures, not calculation over the Fabric semantic model. The primary agent's description for the Fabric specialist should explicitly mention the supported metrics so generative orchestration consistently delegates those requests instead of attempting an unsupported generative answer. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Integrate a Fabric data agent.
질문 # 76
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
- Consistency: Execute a fixed library of test cases containing
specific user prompts.
- Grounding: Measure the quality of the generated output against a
verified "golden" response.
- Comparison: Provide a performance delta between the current version
and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
정답：C
설명：
Using a predefined test set (often called a "golden dataset") and comparing results against expected outcomes across runs is the exact industry standard and best practice for this scenario.
In the context of Copilot Studio and LLM governance, this method is known as Regression Testing or Automated Evaluation.
Consistency: A fixed library of test cases (prompts) ensures that the agent is evaluated on the exact same baseline every time the knowledge base changes.
Grounding: By matching the real-time output against a verified "golden" response, you can use semantic similarity metrics (such as BERTscore, BLEU, or LLM-as-a-judge) to score how well the agent stayed grounded in the source material.
Comparison: Storing the evaluation scores of each run allows you to build a deployment dashboard. This gives you a clear performance delta (e.g., "Accuracy dropped by 4% after the June policy update") before approving the production release.
Reference:
https://agentic-engineering.swmansion.com/expanding-horizons/model-evaluation/
질문 # 77
Drag and Drop Question
A company uses a primary agent in Copilot Studio to handle user intake.
For some requests, the company wants the primary agent to delegate work to another Copilot Studio agent that already exists.
To meet the business needs, the solution must allow agents to perform the following on the connected agent:
- Must allow calls from other agents.
- Must allow agents to use the connected agent for collaboration.
- Must allow agents to invoke the connected agent in conversations.
You need to integrate the existing Copilot Studio agent with the connected agent.
Which setting should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
Box 1: Publish the connected agent.
To allow a primary Copilot Studio agent to delegate work to an existing secondary agent, the secondary agent must be published. For an agent to accept calls and be selectable by other agents, you must enable its capability to be used as a connected agent.
Box 2: Add the connected agent.
Add the connected agent: This is the configuration action required within the primary agent. By navigating to your primary agent's build/agents panel and choosing to add a connected agent, you establish the relationship that allows the primary agent's orchestration runtime to dynamically invoke and delegate conversation tasks to it.
Box 3: Add the connected agent.
In Microsoft Copilot Studio's multi-agent architecture, a primary orchestrator agent routes tasks to independent sub-agents using the Connected agents capability. To make an existing agent available to your primary agent so the orchestrator can autonomously invoke it during conversations, you must go to the primary agent's build tab, navigate to the components panel, and choose to add a connected agent.
Incorrect:
Configure connections to the connected agent: While connections exist in Copilot Studio, they are used to securely authenticate external systems, APIs, or tools (such as SharePoint or Dataverse), rather than connecting another standalone conversational agent.
Add the connected agent as an indexed knowledge source: Knowledge sources are used for uploading files, documents, websites, or databases to ground the AI's general knowledge. They are not used for routing workflows to independent agents.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-copilot-studio-agent
질문 # 78
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Fast2test에서 출시한 Microsoft인증AB-620 덤프는 시험문제점유율이 가장 높은 시험대비자료입니다. 실제Microsoft인증AB-620시험문제유형과 같은 형식으로 제작된Microsoft인증AB-620 시험공부자료로서Fast2test덤프의 실용가치를 자랑하고 있습니다.덤프를 공부하여 시험불합격하시면 덤프비용은 환불처리해드립니다.
AB-620적중율 높은 덤프: https://kr.fast2test.com/AB-620-premium-file.html