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| Section | Weight | Objectives |
|---|---|---|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
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NEW QUESTION # 90
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
Publishing is the foundational action that makes the agent's build available for use. In Copilot Studio, an agent must be published before it can be connected to any channel or before its connection metadata (endpoint URL, App ID, client secret, tenant ID) becomes accessible. This is explicitly stated in the scenario as a hard requirement - configuration values cannot be retrieved before publishing. Publishing essentially "activates" the agent so downstream systems have something concrete to reference.
Step 2: Retrieve the current agent configuration values
Once the agent is published, its configuration details become available and can be retrieved.
These values (App ID, App password/secret, tenant ID, and the agent's endpoint) are what allow an external application to authenticate and communicate with the Copilot Studio agent. This step is dependent on Step 1 by definition - there is nothing to retrieve until the agent exists in its published state. This satisfies the requirement that publishing precede configuration retrieval.
Step 3: Implement the Microsoft 365 Agents SDK in the app using the agent configuration With the configuration values in hand, the development team wires the Microsoft 365 Agents SDK into the custom application. The SDK uses the retrieved App ID, secret, and endpoint to establish the connection between the custom app and the published Copilot Studio agent. This step logically depends on Step 2 - you can't configure the SDK with values you haven't yet retrieved.
This is the actual "integration" work described in the scenario's premise.
Step 4: Validate the end-to-end conversation workflow in a test environment After the SDK integration is implemented, the full conversation flow - from the custom app, through the SDK, to the Copilot Studio agent, and back - must be tested in a non-production environment. This satisfies the explicit requirement that end-to-end validation occur before production deployment. Since production deployment isn't one of the four listed actions in this trimmed variant, this validation step is the final, gating checkpoint of the visible workflow - implying that production deployment (not shown as a draggable option) would follow only after this validation succeeds.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/channels
https://learn.microsoft.com/en-us/microsoft-copilot-studio/publication-integrate-web-or-native-app-m365-agents-sdk
NEW QUESTION # 91
A team is preparing to manage agents in Copilot Studio by using ALM from Power Platform.
A solution must be created before agents and configuration of assets can be managed through ALM.
You need to create a solution that can contain agents and related assets.
Which three actions should you perform in order? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
1. Open the Solutions area in Copilot Studio; 2. Define the solution name and publisher; 3. Save the solution container.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Solution creation begins in the Solutions area because that is the Copilot Studio entry point to the Power Platform solution explorer. The maker then supplies the solution name and publisher. The publisher is not cosmetic: it determines the customization prefix and forms part of the ownership and naming strategy for components that will move through ALM. Saving creates the solution container, after which agents, flows, connection references, environment-variable definitions, prompts, and other dependent assets can be added. Reviewing the solution details page can follow creation but is not one of the required creation steps in this three-action sequence. A custom solution is preferable to relying on the default solution for controlled export, source management, and pipeline deployment. Before export, the team should use dependency checks to ensure all assets required by the agent are included and should avoid including unrelated components. Downstream releases normally import a managed build of the solution, while development remains unmanaged so authorized makers can continue editing. Study Guide alignment: Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create a solution.
NEW QUESTION # 92
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 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 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: B
Explanation:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm
NEW QUESTION # 93
A company is building an agent topic in Copilot Studio.
The topic must meet the following requirements:
- Collect structured user input in a single step.
- Store the submitted values for use later in the conversation.
You need to configure the topic based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
To meet your requirements in Copilot Studio, you must use an Adaptive Card with input fields and an Action.Submit button within a Question node. This allows you to collect structured data in a single step, store the responses as variables, and ensure maximum compatibility by using the standard schema.
Step-by-Step Implementation
1. Add a Question Node: In your topic authoring canvas, add a new node and select Ask a question.
2. Set the Text Prompt: Type a brief message introducing the form (e.g., Please fill out the form below).
3. Change the Input Type: Click on the dropdown menu next to Identify in the Question properties panel. Change it from a standard entity type to Adaptive Card.
4. Paste the JSON Schema: Switch the card editor view to JSON edit mode and paste the schema provided below.
5. Map Your Variables: After saving the JSON, Copilot Studio will automatically detect the input fields based on their "id" attributes. Go to the Save response as section of the node to map these inputs to topic variables for later use.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/configure-bot-virtual-agent
NEW QUESTION # 94
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.
Answer:
Explanation:
NEW QUESTION # 95
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