No doubt the Microsoft AB-620 certification is a valuable credential that helps you to put your career on the right track and assist you to achieve your professional career goals. To achieve this goal you need to pass the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) exam. To pass the Designing and Building Integrated AI Agent Solutions in Copilot Studio (AB-620) exam you need to start this journey with valid, updated, and real Microsoft AB-620 PDF QUESTIONS. The ActualPDF AB-620 exam practice test questions are essential study material for quick Microsoft AB-620 exam preparation.
| Section | Objectives |
|---|---|
| Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics |
| Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components |
| Governance, Security, and Compliance | - Managing access control and authentication - Data protection and responsible AI practices - Environment management in Power Platform |
| Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach |
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Publishing and deploying copilots - Monitoring performance and analytics |
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NEW QUESTION # 91
An agent uses a flow that calls an external service which can occasionally fail or time out.
When a failure occurs, the agent must meet the following requirements:
Must not terminate silently.
Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Solution: Configure run after conditions for failure paths.
Does the solution meet the goal?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Configure run after is the control that routes execution to an error-handling action when the external-service action fails, times out, is skipped, or reaches another selected status. By configuring the notification action to run after failure and timeout, the flow no longer terminates silently and can send a message containing sanitized error context. The handler can then set a deliberate flow status, record a correlation ID, and provide the operator with the failed action and remediation path. This design should be paired with an appropriate retry policy based on whether the external operation is safe to repeat. For non-idempotent writes, automatic retry may create duplicates and should generally be disabled or protected with an idempotency key. Error notifications must not include tokens, secrets, or unrestricted payloads. Testing should deliberately produce an authorization failure, timeout, and service error to prove that each status enters the handler and that the notification itself has a fallback if its connector is unavailable. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 92
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
Users must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
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:
Requirement
Correct configuration
Users must be able to trace each answer back to its source.
Instruct the agent to cite sources in the knowledge settings.
The agent retrieves information from a centralized data index.
Configure Azure AI Search as the grounding data source.
Responses are generated by an enterprise-approved foundation model.
Deploy a model in Foundry to an agent and connect it to Copilot Studio.
Source citations provide traceability by connecting generated statements to the enterprise content used for grounding. Therefore, the agent's knowledge instructions should require citations. For Azure AI Search, this also requires a usable URL in the search index. Copilot Studio interprets metadata_storage_path, or another field containing a complete URL, as the citation target. Consequently, instructions alone cannot produce functional links if the index does not expose a valid source URL.
Azure AI Search should be configured as the grounding source because it provides centralized, indexed retrieval for enterprise content. During a conversation, the user's query is submitted to the configured search index, relevant passages are retrieved, and those passages become the grounding context for the generated response. Uploading documents directly to Copilot Studio would create a separate Dataverse-backed knowledge source and would bypass the required centralized index.
To satisfy organizational model governance, the approved foundation model must be deployed through Microsoft Foundry and associated with a Foundry agent that is connected to Copilot Studio. This ensures generation uses the approved model deployment rather than an unrelated default model.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Integrate agents with Azure # Configure generative answers by using Azure AI Search with Foundry . See Add Azure AI Search as a knowledge source and Connect to a Microsoft Foundry agent .
NEW QUESTION # 93
A company plans to use Copilot connectors to ground answers from a third-party system for an agent in Copilot Studio.
To meet the business needs, responsibilities for configuring and using Copilot connectors must be separated based on the following requirements:
* For tenant administration, the connector must be available at the tenant level.
* For agent runtime behavior, answers must be grounded from authorized sources.
* For builder configuration, you must add the connector to the agent.
You need to determine how Copilot connector setup responsibilities are handled across the tenant, runtime, and builder stages.
What should you configure for each requirement? To answer, move the appropriate configuration to the correct requirement. You may use each configuration once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Correct configuration
Tenant administration
Configure the Copilot connector in Microsoft 365 Admin Center.
Agent runtime behavior
Call the connector knowledge source.
Builder configuration
Add the Copilot connector as a knowledge source.
Copilot connector deployment separates administrative provisioning, agent configuration, and runtime retrieval. At the tenant-administration stage, an administrator configures the connector in the Microsoft 365 Admin Center . The administrator selects or creates the connector, defines its schema and semantic labels, and completes the process that indexes external content into Microsoft Graph. This makes the enterprise connection discoverable across the tenant.
The agent builder does not recreate the connector in Copilot Studio. Instead, the builder opens the agent's Knowledge page, selects Add knowledge , chooses the previously configured Copilot connector, and adds the required connection to the agent. Power Platform Admin Center is not the provisioning location for Microsoft 365 Copilot connectors; it is primarily used for environment administration and data-policy governance.
At runtime, the agent calls the configured connector knowledge source to retrieve indexed content and ground its generated response. Copilot connectors preserve source-level access controls, so the agent returns only information the current authenticated user is authorized to access. This provides secure semantic grounding and supports citations without directly calling the third-party system for each conversation.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Connect to enterprise knowledge sources # Connect to Copilot connectors . See Add Copilot connectors as a knowledge source and Copilot connectors versus Power Platform connectors .
NEW QUESTION # 94
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 # 95
A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?
Answer: B
Explanation:
To prevent your agent from generating ungrounded answers and restrict it to responding only when relevant content is found, you should configure the agent to require grounding for generative answers and use Azure AI Search as the retrieval source.
Enforces Grounding: Enabling the option to require grounding or disabling the ability for the AI to use its own general knowledge ensures that the Microsoft Foundry model will strictly use the data pulled from your indexed enterprise content.
Prevents Hallucinations: If Azure AI Search does not retrieve relevant document chunks for a specific user query, the agent will gracefully refuse to answer rather than fabricating a response based on pretrained model weights.
Reference:
https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/turn-enterprise-knowledge-into-answers-with-copilot-studio-and-azure-ai-search/4493118
NEW QUESTION # 96
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