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| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior |
| Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components |
| Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
| Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - Monitoring performance and analytics |
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NEW QUESTION # 117
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 # 118
An agent uses a flow that calls an external service which can occasionally fail or time out. When a failure occurs, the agent must meet the following requirements.
* Must not terminate silently.
* Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way. Solution: Terminate the flow immediately on error.
Does the solution meet the goal?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Terminating immediately on error makes the failure explicit to the runtime but does not send the required notification. The solution therefore still allows an operator-facing silent failure even though the run status is marked failed. A proper pattern uses Configure run after to enter a notification or catch scope on failure and timeout, collects safe diagnostic details, sends the administrative alert, and only then terminates with the intended status. If notification delivery fails, a secondary monitoring or logging path should still preserve the incident. The error message should include a run or correlation identifier, the failed action, and a concise remediation hint without exposing credentials or sensitive business data. Retry behavior should be configured separately according to idempotency and service characteristics. The proposed immediate termination satisfies neither the communication requirement nor controlled recovery, so the answer is No. Tests should force each expected failure state and confirm both notification delivery and final run status. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 119
Drag and Drop Question
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does NOT have APIs.
To meet the business needs, the solution must meet the following requirements:
- The agent must interact with the application's UI.
- The execution must run on supported infrastructure.
- The builder must be able to observe how the tool runs during
execution.
You need to configure the agent based on the requirements.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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: Enable Compute use tool for the agent.
To enable an agent in Microsoft Copilot Studio to interact with a legacy application's UI, you must configure and add the Computer Use capability.
Box 2: Use a platform-hosted execution environment.
In Microsoft Copilot Studio, you should configure the agent to use a platform-hosted execution environment to automate tasks on legacy desktop applications without APIs.
Box 3: Monitor run details in the agent runtime view.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use
NEW QUESTION # 120
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets 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: A,D
Explanation:
[A]
You must publish the agent to ensure that the updated model settings take effect and that all prompt-driven responses automatically transition to using the approved model across your connected channels.
Changing the generative AI model in Microsoft Copilot Studio modifies the configuration in the authoring canvas, but it does not instantly apply to live users. Publishing the agent pushes these metadata changes to production, ensuring data compliance and governance standards are met.
[E]
To ensure that prompt-driven responses are generated using an approved model while continuing to use your reusable instruction template, you must ensure the reusable instruction template is the one applied to the agent that generates the structured response (specifically by selecting the compliant model within the Copilot Studio agent's settings where the template is run).
Incorrect:
[Not C]
Large Language Models (LLMs) cannot see or change the infrastructure they are running on.
The reality: Adding a text instruction like "Use GPT-4" into a prompt template does not physically change the underlying model being utilized by Copilot Studio. If the agent is configured to use an unapproved model, it will continue to use that model to read your new instruction.
[Not D]
Grounding sources provide factual data, not model governance.
Azure AI Search acts as a Retrieval-Augmented Generation (RAG) data source to prevent hallucinations and provide internal documents to the agent. It does not dictate or enforce which underlying LLM orchestrates and generates the final response text.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-model-settings
NEW QUESTION # 121
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 # 122
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