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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Publishing and deploying copilots - Monitoring performance and analytics |
| Topic 2: Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
| Topic 3: Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors |
| Topic 4: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Topic 5: 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 |
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NEW QUESTION # 46
Drag and Drop Question
A company has an existing custom connector that is approved and available in the environment.
A builder wants an agent in Copilot Studio to call the connector during a conversation to retrieve information from an internal system.
To meet the business needs, the solution must meet the following requirements:
- The agent must make the connector available for topic steps.
- The agent must run the connector call with a valid connection.
- The connector call must receive the required input values at runtime.
You need to configure the agent so the custom connector can be used as a tool.
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: Add the connector as a tool in the agent.
To make an approved custom connector available for topic steps within Copilot Studio, you must add the connector as a tool in the agent.
In Copilot Studio, actions and custom connectors must be explicitly registered as "Tools" within the agent's capabilities before they can be recognized or called by topics.
Box 2: Create or reuse a connection for the connector
The appropriate action is to create or reuse an existing connection for the custom connector.
Because the connector is already approved and available in your environment, you can simply select it from your tools and link the predefined connection Use connectors in Copilot Studio agents.
Box 3: Map topic variables to the tool inputs
The correct configuration action is to Map topic variables to the tool inputs.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-connectors
NEW QUESTION # 47
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
Consistency: Execute a fixed library of test cases containing specific user prompts.
Grounding: Measure the quality of the generated output against a verified " golden " response.
Comparison: Provide a performance delta between the current version and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A predefined test set with expected outcomes is the only option that satisfies consistency, grounding comparison, and repeatable regression analysis. The fixed prompts ensure that each version receives the same inputs. Verified expected responses provide the baseline against which meaning, quality, keywords, or exact output can be scored.
Rerunning the same set produces comparable results over time, allowing the team to calculate whether a knowledge-base change improved or degraded performance. The manual test pane is valuable for interactive debugging and inspecting the activity map, but it does not provide the same controlled batch or historical comparison. Channel usage metrics describe adoption and operational behavior, not response correctness.
Transcript keyword searches can reveal patterns after deployment but do not establish a golden answer or a controlled experiment. The evaluation method should match the content: compare-meaning for legitimate paraphrases, exact match for fixed values, keyword match for required terms, or a custom rubric for domain- specific quality. Results should be retained or exported when a longer audit history is required. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method; Review test results.
NEW QUESTION # 48
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:
NEW QUESTION # 49
A solution containing an agent in Copilot Studio is deployed to multiple environments that require different configuration values.
Configuration values must vary by environment without modifying the solution contents.
Configuration values must meet the following requirements:
* Allow values to be set during import.
* Exclude values from the agent definition.
* Run a dedicated agent instance for each individual environment.
You need to configure the application lifecycle management solution.
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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Allow values during import # Define environment variables in the solution; Exclude values from the agent definition # Define environment variables in the solution; Dedicated instance per environment # Publish a distinct agent version in each environment.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Environment variables separate deployment-specific values from the solution components that consume them. Their definitions travel with the solution, while current values can be supplied during import or deployment for Dev, Test, and Prod. This satisfies both the need to set values at import and the need to keep those values out of the agent ' s authored definition. Hard-coding would force edits for every environment and create configuration drift.
Channel-specific settings address channel behavior, not general external references such as endpoints, IDs, or connection details. Each Power Platform environment contains its own imported agent component and runtime configuration, so a distinct published agent instance is maintained per environment after deployment.
Pipelines can prompt for or preconfigure environment-variable values and connection references as the solution advances through stages. Administrators should avoid placing secrets in ordinary text variables; secret environment variables can reference Azure Key Vault when needed. A release checklist should verify all current values and connections before publishing the target instance, because missing configuration can leave flows or tools unusable even when solution import succeeds. Study Guide alignment: Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create and use environment variables.
NEW QUESTION # 50
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: D
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 # 51
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