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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 2: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 3: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
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NEW QUESTION # 109
A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?
Answer: D
Explanation:
To establish an ALM-ready custom solution from the very beginning, you should Create a new custom solution from the Solutions area.
When building an agent in Microsoft Copilot Studio that requires proper Application Lifecycle Management (ALM), the end-to-end framework consists of three sequential lifecycle actions:
1. Initiate inside a Solution: Navigate to Solutions, select Create a new solution, define a custom publisher/prefix, and create or add your agent inside this container. This ensures that the agent and all its dependencies (topics, prompts, variables) are scoped to that specific package from day one instead of landing in the Default Solution.
2. Package and Move: Once your development phase passes validation, you Export the custom solution as a managed solution from your Development environment.
3. Deploy to Target: You then Import it into the Test and Production environments. Using a managed solution locks the components in downstream environments, preventing unmanaged customization drift and maintaining environment stability.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-overview
NEW QUESTION # 110
Drag and Drop Question
A company has an Azure AI Search vector index that contains enterprise content and wants to use it as a knowledge source for an agent in Copilot Studio.
To meet business needs, the knowledge source must meet the following requirements:
- The agent must connect to the Azure AI Search service.
- The agent must use a supported authentication method for the
connection.
- The agent must ensure answers are grounded using the specified Azure
AI Search index.
You need to connect to Azure AI Search as a knowledge source for 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: Initiate the process to add a knowledge source to the agent
You start inside Copilot Studio by navigating to your agent's settings and choosing to add a new knowledge source.
Step 2: Create a new Azure AI Search connection
From the available knowledge source options, you select Azure AI Search, which prompts the creation of a new connection.
Step 3: Configure the authentication method and provide the required connection details You input the necessary credentials (such as your Azure AI Search endpoint and API key or OAuth details) to authenticate the connection securely.
Step 4: Specify the Azure AI Search index to use for grounding
Once connected, you select the specific vector index that contains your enterprise content so the model knows where to look.
Step 5: Associate the configured knowledge source with the agent
Finally, you save and link this configured search source to the agent, enabling it to ground its responses using your enterprise data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
NEW QUESTION # 111
An agent in Copilot Studio is evaluated using a fixed test set and an automated evaluation method.
After running the evaluation, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?
Answer: B
NEW QUESTION # 112
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON responses and requires authentication.
To meet the business needs, the solution must meet the following requirements:
* The agent calls a REST API during a conversation.
* The REST API call runs with proper authentication.
* The REST API response is available to the topic at runtime.
You need to configure the REST API to meet the requirements.
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:
Call the API during the conversation # Configure a REST action and call it from the topic; Run with authentication # Build an authenticated connection for the API; Make the response available at runtime # Store the API response in a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The REST action is the executable component that issues the request when the topic reaches that node. An authenticated connection supplies the credential or token handling required by the endpoint; embedding secrets directly in a topic would be insecure and difficult to manage across environments. The returned JSON must then be assigned to a topic variable so downstream nodes can inspect fields, make decisions, format a response, or pass the value to another tool. Treating the API as indexed knowledge would be inappropriate because the requirement is a live runtime call, not search over a periodically indexed corpus. The builder should define the HTTP operation, endpoint, inputs, response schema, and output variable precisely. Authentication should use the narrowest appropriate identity model-user-delegated when actions must be attributable to the user, or maker
/service credentials only when the business design permits shared access. Error and timeout paths should be explicit so malformed JSON, authorization failures, and unavailable services do not produce silent or misleading responses. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Add REST APIs to an agent.
NEW QUESTION # 113
Drag and Drop Question
A company needs an agent to answer questions using live enterprise records and to execute a limited set of operations in the same system.
To meet the business needs, the agent must meet the following requirements:
- The agent must update a record using authenticated access.
- The agent must answer questions using live data at runtime.
- The agent must avoid indexing enterprise data into a search index.
You need to select the correct Power Platform connector approach for each requirement.
Which option should you use for each requirement? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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: Power Platform connector tool.
The most appropriate choice is to use the Power Platform connector tool.
Executes Actions: A tool connector allows the agent to perform actions (like updating a record), whereas a knowledge source is strictly for reading and retrieving data.
Authenticated Access: Power Platform connector tools use the user's credentials to securely write back and modify live enterprise records.
Real-Time Operations: It interacts directly with the host system API to execute the update instantly.
Box 2: Power Platform connector for real-time knowledge.
The best choice is to use the Power Platform connector for real-time knowledge.
For an agent that must answer from operational systems using live data at runtime without data replication-and execute limited system operations-Power Platform connectors serve as live API bridges.
Box 3: Power Platform connector for real-time knowledge.
The most appropriate option is to use the Power Platform connector for real-time knowledge.
No Data Replication or Indexing: Unlike Copilot Graph connectors-which copy and index external enterprise records into Microsoft Graph-Power Platform connectors act as live API bridges. For systems like Salesforce, ServiceNow, or SQL databases, Copilot Studio implements a real-time Retrieval-Augmented Generation (RAG) approach. It relies only on source metadata to build queries at runtime, meaning your actual enterprise records are never ingested, duplicated, or saved to a search index.
Live System Integration: This type of connector allows the agent to answer questions directly from live operational systems and preserves security configurations by requiring users to sign in and authenticate using their own source-level permissions.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
NEW QUESTION # 114
......
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