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| Section | Objectives |
|---|---|
| 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 |
| Governance, Security, and Compliance | - Data protection and responsible AI practices - Managing access control and authentication - Environment management in Power Platform |
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior |
| Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components |
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NEW QUESTION # 29
Case Study 1 - Blue Yonder Airlines
Background
Blue Yonder Airlines is a global carrier headquartered in Los Angeles, California, operating domestic and international flights. The company serves millions of passengers annually through its website, mobile app, and call centers. To improve customer service efficiency and reduce call center volume, Blue Yonder is deploying an AI agent in Microsoft Copilot Studio.
The agent will handle customer inquiries across multiple channels - web chat, mobile app, and Microsoft Teams (for internal support staff). It will answer questions, retrieve data from enterprise systems, and escalate to human agents when needed.
The project is led by a cross-function team:
- Product manager: Defines requirements and success metrics.
- Lead agent author: Designs topics, intents, and generative behavior.
- Flow designers: Build agent flows and integrations.
- IT/security and compliance: Oversees identity, data protection, and Responsible AI (RAI) compliance.
Current environment
Channels
Public website: Embedded web chat
Mobile app: In-app chatbot
Microsoft Teams: Internal support agent access
Identity and access
Customers: Anonymous access for general inquiries (e.g., flight status, baggage policy).
Authentication is required for personal data access (e.g., bookings, loyalty points).
Internal staff: Authenticate via Microsoft Entra ID.
Data sources
Reservation and Ticketing System (internal): REST API, no prebuilt connector with custom enterprise database.
Flight Status and Weather APIs (external): REST APIs with API keys.
Customer Support Knowledge Base: SharePoint library with PDFs and policy documents.
Loyalty Program Data: Stored in Dynamics 365 and Dataverse.
Travel Advisory Content: Uses REST API with partner services.
Integration mechanisms
Custom connectors must be used for internal APIs that lack prebuilt connectors.
HTTP request nodes may be used for lightweight external APIs.
Knowledge sources must be used for unstructured content.
Agent flows must be used to encapsulate reusable logic (e.g., rebooking).
Business requirements
Omnichannel support
Deploy the agent across web, mobile, and Teams with a consistent user experience. The Teams deployment must also support internal staff.
Self-service capabilities
The agent must handle common inquiries such as:
- Flight status
- Booking and rebooking
- Loyalty program questions
- Travel policies and baggage rules
Human escalation
If the agent cannot resolve an issue or the user requests help, it must:
- Escalate to a human agent.
- Transfer the conversation transcript and relevant context.
- Redact any sensitive personal data before escalation.
Knowledge integration
The agent must use scalable methods for knowledge integration and must not rely on manually authored Q&A topics for each document.
Performance metrics
First-contact resolution: +25%
Tier-1 call deflection: ≥20%
Response time: 90% of queries answered within 30 seconds
Accuracy: ≥95% for known FAQs
CSAT: ≥85% for AI-handled interactions
Technical requirements
Platform constraints
No custom code is permitted; only Copilot Studio's built-in tools may be used.
All backend logic must be implemented using agent flows.
Markdown must be used for formatting (e.g., bold, bullet points); HTML is not supported.
Authentication
Sign-in is required for personal data access.
Anonymous access is allowed for general inquiries.
User identity must be used for data access; shared or builder credentials must not be used.
Compliance and security
Power Platform DLP policies must be enforced to block unauthorized data flows.
Responsible AI content moderation filters must be enabled.
Prompt modifications must be added to enforce tone, disclaimers, and refusal behavior.
Disclaimers must be applied consistently across all generative responses. Manual edits to individual topics must be avoided.
Monitoring and maintenance
All conversations and actions must be logged for auditing.
Weekly reviews of transcripts and metrics must be conducted.
Topics, flows, and knowledge sources must be updated as policies or systems evolve.
Issues and constraints
API rate limits: External APIs (e.g., flight status) have usage limits. Agent flows must handle retries and caching to avoid exceeding quotas.
Knowledge base limits: Copilot Studio has limits on the number and size of indexed documents.
Large files must be split or summarized.
Generative answer risks: Generative responses must be constrained to avoid policy violations.
Prompt modifications and filters must be used to enforce tone, safety, and compliance.
User input variability: Users phrase questions in diverse ways. Topics must include varied trigger phrases and fallback handling.
Authentication UX: The agent must clearly explain when sign-in is required and handle transitions smoothly across channels.
Problem statement
Blue Yonder Airlines must deploy a secure, scalable, and policy-compliant AI agent using Microsoft Copilot Studio. The agent must deliver accurate, helpful, and safe responses across multiple channels, integrate with enterprise systems, and support both anonymous and authenticated users. It must adhere to strict data protection and Responsible AI standards while improving customer service efficiency and satisfaction.
Drag and Drop Question
You need to determine which authentication model should be applied to each Blue Yonder Copilot interaction scenario to comply with the company's security and governance requirements.
Which authentication requirement should you apply to each scenario? To answer, move the appropriate authentication requirements to the correct user scenarios. You may use each authentication requirement 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: Allow anonymous access.
Scenario: Customers: Anonymous access for general inquiries (e.g., flight status, baggage policy).
Box 2: Require customer sign-in using an account.
Scenario: Authentication is required for personal data access (e.g., bookings, loyalty points).
Box 3: Require internal agent sign-in using Microsoft Entra ID.
Scenario: Internal staff: Authenticate via Microsoft Entra ID.
NEW QUESTION # 30
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: D
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 # 31
A team uses environment variables to separate configuration from an agent so that the same solution can be moved between environments.
The team requires the following scenarios to be addressed:
An administrator updates a sensitive configuration value and needs the change to take effect at runtime without republishing the agent.
A builder needs to confirm a configuration value but must not be able to modify it from Copilot Studio.
An administrator updates a non-secret configuration value and needs the updated value to be used by the published agent at runtime.
Answer:
Explanation:
Explanation:
Sensitive value without republishing # Use a secret environment-variable type for runtime resolution; View but do not edit in Copilot Studio # Environment variables are read-only in Copilot Studio; Updated non-secret value used by the published agent # Republish the agent.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Secret environment variables are designed to resolve protected values, typically through Azure Key Vault, without embedding the secret in the agent definition. That makes them suitable when an administrator changes a sensitive value and runtime must obtain the current secret. Environment variables exposed to Copilot Studio are read-only there; administrators manage their definitions and current values through the Power Platform solution and environment controls, so a builder can inspect a reference without editing it on the topic canvas. For ordinary non-secret variables used by a published agent, a configuration change must be followed by republishing so the active runtime version consumes the updated value. Topic variables are conversation state and are not an ALM substitute for environment-specific configuration. Allowing every builder to edit environment variables from Copilot Studio would defeat separation of duties. The team should test the exact behavior for each variable type, because secret resolution and published configuration have different lifecycles, and should ensure target-environment service identities can read the referenced Key Vault secret. Study Guide alignment:
Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create and use environment variables.
NEW QUESTION # 32
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: Retry the failing action without handling failure.
Does the solution meet the goal?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Retrying the failing action without an error-handling branch does not meet either stated requirement. The flow can still exhaust its retries and terminate without notifying anyone, and repeated calls may be dangerous if the external operation is not idempotent. A controlled design configures run-after conditions so a notification or handling scope executes on failure and timeout, captures an appropriate error message or correlation identifier, and then terminates or continues intentionally. Retry policy is a separate resilience choice. It can help with transient failures when the operation is safe to repeat, but it is not a substitute for handling the final failure. The number, interval, and backoff should be bounded, and non-idempotent requests should use a deduplication mechanism or disable retries. Administrators need enough diagnostic context to locate the failed run without receiving secrets or sensitive payloads. Because the proposed solution only retries, the correct assessment is No. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 33
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 # 34
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