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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - 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: Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions |
| Topic 4: 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 5: Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs |
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NEW QUESTION # 24
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
[A]
You must publish the agent to ensure that the updated model settings take effect and that all prompt-driven responses automatically transition to using the approved model across your connected channels.
Changing the generative AI model in Microsoft Copilot Studio modifies the configuration in the authoring canvas, but it does not instantly apply to live users. Publishing the agent pushes these metadata changes to production, ensuring data compliance and governance standards are met.
[E]
To ensure that prompt-driven responses are generated using an approved model while continuing to use your reusable instruction template, you must ensure the reusable instruction template is the one applied to the agent that generates the structured response (specifically by selecting the compliant model within the Copilot Studio agent's settings where the template is run).
Incorrect:
[Not C]
Large Language Models (LLMs) cannot see or change the infrastructure they are running on.
The reality: Adding a text instruction like "Use GPT-4" into a prompt template does not physically change the underlying model being utilized by Copilot Studio. If the agent is configured to use an unapproved model, it will continue to use that model to read your new instruction.
[Not D]
Grounding sources provide factual data, not model governance.
Azure AI Search acts as a Retrieval-Augmented Generation (RAG) data source to prevent hallucinations and provide internal documents to the agent. It does not dictate or enforce which underlying LLM orchestrates and generates the final response text.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-model-settings
NEW QUESTION # 25
Which two actions should you perform before making the agent available on both channels? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
* A. Configure prompt modifications at the system level. Centralized instructions enforce the required tone, disclaimers, response boundaries, and refusal behavior consistently across generative responses.
Microsoft documents that prompt modification can define an agent's personality, response format, permitted subjects, and behavior when an answer is unavailable. This avoids inconsistent manual changes across individual topics. Microsoft: Prompt modification
* D. Configure Power Platform DLP policies. DLP policies govern which connectors, knowledge sources, HTTP endpoints, and channels the agent may use. They should be configured and validated before publication because a policy violation can prevent the agent from being published. DLP also protects against unauthorized data movement between business and non-business connectors.
Microsoft: Data policies for agents
Why the others are incorrect: B creates duplicated, inconsistent disclaimers. C incorrectly treats moderation as a web-channel setting; moderation is configured for generative behavior rather than enforced only by embedding settings. E applies safeguards after publication and assumes filters must be configured separately for every channel, which would not provide the required centralized governance.
NEW QUESTION # 26
Hotspot Question
A team deploys Copilot Studio solutions by using Power Platform Pipelines.
You must configure a deployment strategy that meets the following requirements:
- Ensure that the solutions deploy in dev, test, and production
environments in order.
- Identify missing connection references or environment variables
before the deployment process begins.
- Manage all pipeline stages and security from a single, unified
location for all linked environments.
You need to configure the pipeline to meet the requirements.
What should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Sequential stage progression
Power Platform Pipelines stages are ordered, and each stage can specify its predecessor. A solution must be successfully deployed to the preceding stage before it becomes eligible for the next, which enforces dev → test → production ordering. Direct target selection would bypass that ordering entirely.
Box 2: Deployment input validation
Before the deployment runs, the pipeline validates the solution against the target environment and surfaces missing connection references, environment variable values, and other required inputs so they can be supplied up front. Managed solution deployment is just the packaging type; it doesn't perform pre-checks.
Box 3: Centralized pipeline configuration
The host (pipelines) environment holds the Deployment Pipeline Configuration app, where all stages and their security roles are defined for every linked development environment.
Environment-level or maker-defined settings would fragment that administration.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/run-pipeline
https://learn.microsoft.com/en-us/power-platform/alm/custom-host-pipelines
https://learn.microsoft.com/en-us/power-platform/alm/extend-pipelines
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/environmentvariables
https://www.microsoft.com/en-us/power-platform/blog/power-apps/environment-variables-are-now-always-visible-and-editable-during-solution-import-and-pipeline-deployments/
NEW QUESTION # 27
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 # 28
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.
Answer:
Explanation:
Explanation:
Avoid indexing business records # Retrieve data without indexing; Preserve source-system controls # Use existing permissions; Access current data at runtime # Use a real-time Power Platform connector.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform real- time knowledge connectors query the source system when the agent needs an answer. Microsoft indexes metadata needed to understand the available tables and fields, but the business records themselves are not copied into a separate content index. Because the request is executed through the established connection, the source system ' s permissions remain part of the access decision. This is materially different from a Copilot connector, which indexes external content into Microsoft Graph, and from Azure AI Search, which relies on a maintained search index. The real-time pattern is best when current operational records and source-enforced access are more important than broad document search. The connection must be governed with the same Power Platform data policies that apply to actions, and authentication should reflect whether access is user- delegated or provided by a service identity. Testing under users with different permissions is essential to confirm that the agent cannot return records a user could not access directly and that changes in the source appear without an indexing delay. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources > Connect to Microsoft Power Platform connectors.
NEW QUESTION # 29
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