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| Section | Objectives |
|---|---|
| Topic 1: Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
| Topic 2: Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions |
| Topic 3: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - Monitoring performance and analytics |
| Topic 4: Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration |
| Topic 5: Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics |
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NEW QUESTION # 32
An agent must escalate to a live human agent when it cannot resolve a customer issue, and hand off full conversation context. Which node should you add to the topic?
Answer: B
Explanation:
The handoff/escalate node transfers the conversation, along with context and transcript, to a live agent channel such as Omnichannel or Teams.
NEW QUESTION # 33
A company is deploying an agent for employees. The company has the following requirements:
* Access must be restricted to the internal employees only.
* End-user authentication must be enforced.
You need to configure the agent based on the company requirements. What should you do?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Selecting Authenticate with Microsoft restricts the agent to signed-in organizational identities in the supported Microsoft channel and enables the agent to be shared with controlled users in the tenant. That meets the requirement for internal employees and enforced end-user authentication. No authentication or a public website would allow anyone with access to the link to converse with the agent and would prevent reliable organizational access control. A personal-account setting is not the enterprise identity model required here. Authentication and authorization are related but separate: after choosing Microsoft authentication, the owner must still share the agent only with the intended employees or groups and ensure connected knowledge and tools apply the user's permissions correctly. If the deployment uses a channel that requires manual Entra ID configuration, the appropriate manual authentication and sign-in requirement may be needed instead; however, among the supplied choices, Authenticate with Microsoft is the correct control. Test with authorized, unauthorized, and signed-out users before release, and review any DLP policy that mandates authentication. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan identity strategy; Design agents for internal audiences.
NEW QUESTION # 34
Hotspot Question
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.
You need to configure Responsible AI safeguards and diagnostics.
Which setting 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: Configure the content filtering level for AI-generated content.
To configure safeguards and manage blocked generative responses effectively during your pilot testing, you should perform the following action: Configure a custom Azure OpenAI Content Filter policy with stricter severity thresholds and apply it to your agent's deployment.
Box 2: Review Azure Application Insights telemetry
Reviewing Azure Application Insights telemetry is the correct and recommended action to take.
When you deploy generative AI models in Azure (such as Azure OpenAI), safety filters monitor both incoming prompts and outgoing completions. If a response is blocked, Azure logs this event as a specific exception or telemetry metric.
Box 3: Review conversation transcripts
A good action to take is to review conversation transcripts.
Troubleshooting Blocked Responses
Conversation transcripts: Inspecting the downloaded or logged session transcripts allows you to look at the exact turn, user message, or grounded data that caused the Responsible AI filter to trigger the block.
Application Insights telemetry: Correlating the Conversation ID from the error with custom events or exceptions in Azure Application Insights helps verify the exact internal code (such as openAIndirectAttack or ContentFiltered).
Reference:
https://learn.microsoft.com/en-us/troubleshoot/power-platform/copilot-studio/generative-answers/agent-response-filtered-by-responsible-ai
NEW QUESTION # 35
A company has agents in Copilot Studio.
The company needs to prevent the agents from using disallowed connectors and insecure data flows.
Administrators must be able to enforce the governance controls to prevent and report violations.
You need to enforce governance controls for agents.
What should you do?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform data policies are the preventive governance control for connectors, HTTP endpoints, knowledge sources, and combinations of data groups used by Copilot Studio agents. Administrators can classify or block connectors, restrict endpoint use, require authentication, and surface policy violations during authoring or publishing. This meets both enforcement and reporting requirements. Application Insights records runtime telemetry but does not prevent a maker from adding a disallowed connector. Security FAQs provide guidance only. Agent analytics can reveal behavior and usage trends but are detective, not an administrative guardrail. Data policies should be scoped deliberately at tenant or environment level and tested against representative agent configurations. When a violation occurs, Copilot Studio can block publishing and provide downloadable details identifying the policy conflict, enabling the administrator and maker to correct the design. Governance should also include least-privilege connections, environment segmentation, solution-based ALM, and review of exceptions; a broadly permissive policy followed by manual monitoring is not equivalent to enforcing the control at design and deployment time. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Evaluate security and governance considerations.
NEW QUESTION # 36
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 # 37
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