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| Section | Weight | Objectives |
|---|---|---|
| Plan and configure agent solutions | 30โ35% | - Plan an agent solution
|
| Test, deploy, and manage agents | 20โ25% | - Test and validate agent performance
|
| Build and extend agents in Copilot Studio | 40โ45% | - Implement advanced capabilities
|
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NEW QUESTION # 123
Hotspot Question
You are setting up an evaluation for an agent in Copilot Studio before expanding access to more users.
You must configure the evaluation so that the agent is tested by using prepared interactions rather than impromptu conversations.
The evaluation should provide the following functionality for users:
- An administrator updates a sensitive configuration value. The
administrator requires 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
requires the updated value to be used by the published agent at
runtime.
You need to create a test set-based evaluation that supports consistent test runs for each scenario.
What should you configure for each scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Secret environment variable
The correct configuration for updating a sensitive configuration value at runtime without having to republish the agent is a Secret environment variable.
Secret environment variables: Securely store secrets (like passwords, keys, or API tokens) within the environment and reference them directly inside the agent. These can be updated dynamically at runtime without needing to republish the bot, as they are evaluated in real-time.
Incorrect:
Only in production / Only after publishing: These configurations require a full publishing cycle to take effect. This means that any adjustments to bot topics, node logic, or regular environment variables require pushing the latest content updates out to end-users.
Box 2: Managed environment variable
A managed environment variable is the specific configuration needed. It enables makers to reference or confirm configuration values without permitting modifications directly within the studio interface, protecting agent integrity. Additionally, you can configure your testing using the Agent Evaluation in Copilot Studio feature.
Box 3: String environment variable
The specific configuration that allows an administrator to update a non-secret configuration value and requires the updated value to be used by the published agent at runtime is a string environment variable.
In Microsoft Copilot Studio, environment variables are used to manage configuration values dynamically. When an administrator updates a non-secret string environment variable, the change takes effect at runtime without requiring the agent to be rebuilt or modified in the authoring canvas.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-overview
NEW QUESTION # 124
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.
Answer: B,D
Explanation:
[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
NEW QUESTION # 125
A team is implementing ALM for agents in Copilot Studio across multiple environments. The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports the creation and use of ALM scenarios for agents in Copilot Studio.
Solution: Builders can change environment-variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
Does the solution meet the goal?
Answer: A
Explanation:
The proposed solution does not meet the goal because environment variables are read-only within Copilot Studio. Agent builders can reference environment variables in topics, tools, formulas, and other agent components, but they cannot directly modify the variables' current values from the Copilot Studio authoring interface.
Environment variables are created and managed through the appropriate Power Platform or Power Apps solution-authoring experience. During an ALM deployment, they separate environment-specific configuration-such as service endpoints, resource identifiers, or other external references-from the agent definition. This separation allows the same solution package to move through development, testing, and production without changing its internal components. Administrators can supply appropriate values during solution import or update the current values in the target environment afterward.
For non-secret environment variables, an agent normally must be republished after an administrator changes a value so that the published runtime uses the updated configuration. Secret environment-variable values are retrieved differently and do not require republishing when changed.
Therefore, the claim that builders can complete this configuration by editing values directly in Copilot Studio is technically incorrect. Relevant AB-620 study-guide topics are Create and use environment variables , Create solutions , and Implement ALM for agents in Copilot Studio . See Variables overview in Copilot Studio
NEW QUESTION # 126
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.
Answer:
Explanation:
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
NEW QUESTION # 127
Drag and Drop Question
A company is extending agents in Copilot Studio with both external capabilities and enterprise content access. Some user requests require grounded answers, while other requests require executing actions.
To meet the business needs, the agent must meet the following requirements:
- Ground answers using results from enterprise data.
- Invoke callable functions exposed through a standardized tool
interface.
- Write an update to a system by using an authenticated action during
the conversation.
You need to integrate the correct approach to meet the requirements.
What should you integrate for each requirement? To answer, move the appropriate integrations to the correct requirements. You may use each integration 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:
Box 1: Add a Copilot connector knowledge source for index content
To extend a Copilot Studio agent to provide grounded answers using enterprise data (such as ERP, CRM, or document stores), the correct integration action is to add a Copilot connector knowledge source for index content.
Copilot connectors crawl your enterprise content and index it into the search index. This allows the agent's generative answers to quickly retrieve and ground responses in trusted business data.
Box 2: Connect to an MCP server and add its tools to the agent
Standardized Tool Interface: The Model Context Protocol (MCP) is a universal, open standard interface specifically built to let large language models securely interact with external tools and callable functions.
Executing Actions: When you link an MCP server to your Copilot Studio agent, any executable capabilities or functions exposed by that server automatically become functional tools that your agent can invoke.
Box 3: Add a Power Platform connector tool and call it from a topic
For extending a Copilot Studio agent to execute authenticated, real-time updates to an external system, the correct action to take is to add a Power Platform connector tool and call it from a topic.
Executing Actions & Writing Data: Power Platform connectors (prebuilt or custom) are explicitly designed to perform actions like creating, reading, updating, or deleting records (CRUD operations) in backend systems.
Authentication: Connectors natively support security configurations, allowing you to easily map credentials so the agent executes the update using either maker-provided or specific end-user Microsoft Entra ID authentication. You can also control access at the topic level to ensure triggers execute precisely when required.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/copilot-connectors-in-copilot-studio
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-tools-custom-agent
NEW QUESTION # 128
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