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| Section | Weight | Objectives |
|---|---|---|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
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NEW QUESTION # 126
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.
Answer:
Explanation:
Explanation:
Block unsafe content # Configure the content-filtering/moderation level for AI-generated content; Diagnose why a response was filtered # Review Azure Application Insights telemetry; Identify the triggering user input # Review conversation transcripts.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Content moderation is the preventive control that evaluates generative input and output for harmful categories and blocks responses that violate the configured threshold. A stricter level reduces the likelihood that unsafe material is returned, although it may also increase false positives and reduce answer coverage. Application Insights provides operational telemetry for investigating filtered or failed behavior when appropriate logging is enabled, including events and message details subject to the organization ' s privacy settings. Conversation transcripts are the direct source for identifying which user utterance preceded the filter decision; connector run history would only be relevant if a connector failed and cannot reveal the original conversational input in this scenario. Logging must be configured carefully because prompts and responses can contain personal or sensitive information. Access to telemetry and transcripts should be restricted, retention should follow policy, and sensitive activity properties should not be enabled casually. The team should test both user prompts and model-generated responses, document expected safety behavior, and preserve a human review and escalation path for legitimate requests that are incorrectly blocked. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan responsible AI strategy; Evaluate security and governance considerations.
NEW QUESTION # 127
Drag and Drop Question
A company is building an agent that uses an agent flow to retrieve data from an external system and return structured output.
The company needs to create a flow that the agent can invoke to process requests and return results. To support this business need, the flow must meet the following requirements:
- Accept parameters from the agent.
- Execute an action to retrieve data from the database.
- Ensure the agent receives the relevant output information.
- Validate before it is used by the agent.
You need to create a usable agent flow that the agent can invoke.
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: Create a new agent flow
Initialize the flow workspace from your platform's dashboard using a template or blank canvas.
Step 2: Define input values for the flow: Configure the flow's initial trigger parameters to accept structured data passed from the AI agent.
Step 3: Add the connector action and configure the connection
Set up the database or external system connector node to perform the data retrieval query using your defined inputs.
Step 4: Define output values for the flow
Map the retrieved system results into structured output parameters back within the response node so the agent can understand the payload.
Step 5: Test the flow run
Run a simulated diagnostic execution to validate that data transfers correctly and errors are handled before deploying it to production.
NEW QUESTION # 128
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: To export, import, and manage agents between environments, you need to create and use a custom solution.
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 # 129
Drag and Drop Question
A company uses a supported Power Platform connector to provide real-time access to enterprise records for knowledge grounding in an agent in Copilot Studio.
To meet the business needs, the knowledge source must provide the following functionality:
- Avoid copying enterprise data into an index.
- Keep source-system access controls enforced.
- Access data by calling the system at runtime.
You need to configure the connector knowledge source.
What 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.
Answer:
Explanation:
Explanation:
Box 1: Use a real-time connector
Use a real-time connector to meet this requirement.
Power Platform connectors configured as real-time knowledge sources execute queries live at runtime under the user's connection and identity. Because the data is retrieved on demand directly from the source system, no data movement or replication takes place, completely avoiding copying enterprise data into a Microsoft 365 or Graph index.
Box 2: Use existing permissions
To meet the requirement of keeping source-system access controls enforced while using a supported Power Platform connector for real-time knowledge grounding in Microsoft Copilot Studio, you should use existing permissions.
Delegated Context: When structured Power Platform connectors are integrated as real-time knowledge sources, they execute queries dynamically in the security context of the user interacting with the agent.
Access Enforcement: By relying on use existing permissions, the underlying data source maps the authenticated user's credentials (such as Microsoft Entra ID) to ensure they only retrieve and see records they are explicitly authorized to view.
Computer Information Agency
Box 3: Retrieve data without indexing
To meet the requirement of accessing real-time data by calling the system at runtime using a Power Platform connector, you should retrieve data without indexing.
When you use a Power Platform connector for knowledge grounding in Copilot Studio, it functions via dynamic runtime queries:
No Pre-indexing Required: Unlike static knowledge sources, connectors fetch live records directly from the source system at the exact moment the user asks a question.
Real-Time Accuracy: Avoiding an external search index ensures that the AI agent always accesses the most current, up-to-the-minute enterprise data.
Reference:
https://suparnatechbasket.wordpress.com/2025/09/15/copilotstudio-realtime-connector-vs-graphconnector/
NEW QUESTION # 130
A company uses an agent flow that calls a connector action. The flow sends an administrative notification if the action fails or times out Administrators require the following configuration to help troubleshoot and manage failures:
* Handle failure and timeout outcomes explicitly.
* Continue execution after a failure is handled.
* Avoid retrying the failed action automatically.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The connector action's retry policy should be set to None when the business requirement explicitly says not to retry automatically. Otherwise, platform retries can repeat a non-idempotent operation or delay the controlled failure path. The notification action must then use Configure run after so it executes when the connector action fails or times out and can include the available error details. This combination directly addresses the three requirements: explicit failure and timeout handling, continuation into the notification branch, and no automatic retry. A scope can be valuable for grouping a try block and evaluating its aggregate result, but grouping alone does not disable retries or define the notification's run-after conditions. Increasing the timeout changes how long the action waits and can make recovery slower without handling the error. The flow should also end with a deliberate final status, avoid exposing secrets in the notification, and distinguish transient dependency errors from validation failures. If the external operation is non-idempotent, a correlation or idempotency key should be used to prevent duplicate effects when an administrator later resubmits the run manually. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 131
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