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| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and manage agents | 20โ25% | - Deploy and manage agent lifecycle
|
| Plan and configure agent solutions | 30โ35% | - Configure agent foundations
|
| Build and extend agents in Copilot Studio | 40โ45% | - Develop agent flows and logic
|
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NEW QUESTION # 77
A company needs to ground an agent's answers in Copilot Studio by using live enterprise data from a supported system through a Microsoft Power Platform connector.
To meet the business requirements, the builder must:
* Authenticate by using a valid connection.
* Add the connector as a real-time knowledge source.
* Select the tables used for knowledge grounding.
You need to add a Power Platform connector as a real-time 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:
The process begins from the agent's Overview or Knowledge page, or from the properties of a generative answers node, by selecting Add knowledge . This opens the catalog of supported knowledge-source types.
The builder must then select the required Power Platform connector from the available real-time connectors, using the advanced selections if the connector is not displayed in the featured list.
Authentication must occur before table selection because Copilot Studio needs an authorized connection to access the target system and discover its available schema. The builder signs in and either creates a new connection or reuses a valid existing connection. After selecting the target location and completing authentication, Copilot Studio presents the tables or entities available through that connection.
The builder then selects only the tables required for knowledge grounding. Limiting the selection improves relevance and reduces unnecessary exposure of enterprise data. After optionally supplying the knowledge- source name, description, synonyms, or glossary definitions, the builder selects Add to agent to complete the configuration.
This is a real-time knowledge integration: connector requests retrieve current data at runtime instead of treating the connector as a static uploaded document. Relevant study-guide topics are Connect to Microsoft Power Platform connectors , Configure advanced responses with custom knowledge sources , and Connect to enterprise knowledge sources . See Add Power Platform connectors as real-time knowledge .
NEW QUESTION # 78
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 # 79
Drag and Drop Question
A company configures an agent flow that interacts with multiple systems to complete user requests.
The company must integrate external services, retrieve data, and notify users as part of the same automated flow run. To support this scenario, the agent flow must be able to do the following:
- Call an external API.
- Retrieve stored data from a supported internal data source.
- Send a Teams message.
You need to select a connector or action type for each requirement.
What should you use? To answer, move the appropriate connectors or actions to the correct requirements. You may use each connector or action 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: Make an HTTPS request.
To call an external API within a Copilot agent flow, you should make an HTTPS request.
Direct API Integration: It allows the flow to send HTTP requests (GET, POST, PUT, DELETE) directly to any external REST API endpoint.
Data Retrieval & Actions: It can both fetch data from external systems and send data to trigger external processes in a single automated run.
Flexibility: It does not require a pre-built ecosystem connector, meaning you can connect to any custom or proprietary external service as long as you have the API URL and authentication details.
Box 2: Add a standard connector.
You should add a standard connector.
Standard and custom Power Platform connectors provide the communication interface required for a Copilot agent flow to read from or write to external systems in real-time. They act as wrappers around APIs, enabling the agent to securely authenticate, integrate external services, retrieve stored data from internal data sources, and trigger actions across multiple business applications within a single automated flow run.
Box 3: Trigger a notification
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/integrations
NEW QUESTION # 80
Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
- Each evaluation case is reported as meeting or missing the expected
response.
- Some evaluation cases fail repeatedly across several runs.
- Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Pass or fail status.
Based on the evaluation results, you can conclude the Pass or fail status.
Direct mapping: Measuring whether a case "meets" or "misses" an expectation is the definition of a binary pass/fail test.
Insufficient data for production: You cannot fully determine Production readiness because readiness requires broader metrics like latency, security, and user acceptance testing.
No diagnostic data: You cannot determine the Failure configuration because a simple "miss" label does not explain why the system failed or how it is misconfigured.
Box 2: Consistent outcomes
Based on the evaluation results, you can conclude that these are Consistent outcomes.
Definition of Consistency: Because the specific evaluation cases fail repeatedly across several runs, the behavior is predictable and stable, not random.
Box 3: Expected and generated responses:
The correct conclusion from these evaluation results is Expected and generated responses.
Expected and generated responses: The evaluation results explicitly show a side-by-side comparison between what the agent was supposed to say (expected response) and what it actually said (generated response). This allows you to conclude exactly how well the agent's outputs align with your test cases.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results
NEW QUESTION # 81
An agent calls a flow. The agent requires structured output values to be returned.
The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow.
What should you do?
Answer: E
Explanation:
Validating your parameter definitions is the correct first step. Unexpected or empty values typically occur because of a schema mismatch or because unsupported, nested data types are passed directly between the agent and the Power Automate flow.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-flow-create
NEW QUESTION # 82
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