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| Section | Objectives |
|---|---|
| Topic 1: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| Topic 2: Governance, Security, and Compliance | - Managing access control and authentication - Data protection and responsible AI practices - Environment management in Power Platform |
| Topic 3: Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Topic 5: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Monitoring performance and analytics - Iterative improvement and lifecycle management |
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NEW QUESTION # 26
A company is building an agent in Copilot Studio.
The agent must meet the following requirements:
Responses must be grounded in approved internal content.
The agent must be able to retrieve information from configured data sources in a topic.
You need to configure the agent so that topic responses are grounded from custom data sources.
What should you configure?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A generative answers node inside the topic is the correct place to retrieve from configured knowledge sources for that specific conversational path. The node can use the user's message as input, search designated sources, and generate a grounded response from the retrieved content. Topic-level sources can override the broader agent-level set, which is useful when the topic must restrict itself to approved data. A custom prompt that merely instructs the model to use company information does not create or enforce a retrieval connection. Increasing the response limit affects length, not grounding. Analytics measures usage after the fact and cannot supply knowledge. Adding SharePoint only at agent level is unnecessarily narrow and would not satisfy the requirement for custom sources configured within the topic. The builder should enable Search only selected sources when strict scoping is required and turn off general knowledge if no ungrounded fallback is allowed. Testing should inspect both the answer and the resource details to confirm that the intended source supplied the evidence. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom knowledge sources.
NEW QUESTION # 27
A company wants to use content from a non-Microsoft enterprise knowledge base to ground agent responses.
To meet the business needs, the knowledge source must meet the following requirements:
Support grounding from indexed data.
Use existing access controls from the source system.
Support read-only operations.
You need to determine the correct behavior to meet the requirements.
Which behavior meets each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 28
An agent calls a flow that intermittently produces unexpected results during execution.
The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
[A]
To diagnose the root cause of intermittent, unexpected results and inconsistent behavior in a Copilot agent flow, the correct step is to inspect failed run details.
Selecting a specific failed run from the history allows you to view the exact inputs, outputs, and error messages for each action within that specific execution. This is the only way to pinpoint exactly why a flow intermittently produces unexpected data or behaves inconsistently during a precise moment in time.
[C]
Checking the Activity tab in Microsoft Copilot Studio is a critical diagnostic step. It lets you trace exact interactions, see the decisions the AI made, and check for specific error details to determine why the flow execution failed or behaved inconsistently.
Reference:
https://community.powerplatform.com/forums/thread/details/?threadid=09732bfd-2c63-f011-bec2-6045bdda2f4f
https://community.powerplatform.com/forums/thread/details/?threadid=ac8bc7a2-86c9-f011-bbd3-000d3a184f11
NEW QUESTION # 29
A company requires an agent in Copilot Studio to answer questions using content stored in a third-party knowledge base system and reuse that content for knowledge grounding.
The agent must ground answers using indexed enterprise knowledge from a non-Microsoft system.
You need to choose the correct integration approach.
What should you use?
Answer: B
Explanation:
Adding a Copilot connector is the correct approach to index and ground an agent using authorized non-Microsoft enterprise knowledge.
Integration and Configuration
Indexing data: Copilot connectors (formerly Microsoft Graph connectors) sync and index external data sources into Microsoft Graph.
Adding knowledge: Open your agent in Microsoft Copilot Studio, go to the Overview, Knowledge, or Properties page, and select Add knowledge.
Selecting the source: Choose your configured Copilot connector from the dialog menu and select Add to agent.
Key Benefits
Security: Respects source-level permissions so users only see content they are authorized to access.
Grounding: Reduces AI hallucinations by anchoring replies directly in trusted business data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors
NEW QUESTION # 30
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:
NEW QUESTION # 31
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