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| Section | Weight | Objectives |
|---|---|---|
| Evaluate, optimize, and monitor multi-agent solutions | 20-25% | - Evaluate solution quality
|
| Secure, govern, and deploy multi-agent solutions | 20-25% | - Design and implement guardrails
|
| Develop multi-agent solutions in Azure | 30-35% | - Implement multi-agent orchestration
|
| Architect multi-agent solutions | 15-20% | - Design logical architecture for multi-agent solutions
|
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NEW QUESTION # 36
You have a Microsoft Foundry project that includes three agents named FinanceOrehestrator, invoiceValidationAgent, and PayaentApprovalAgent. The agents interact with an external agent named vendorfiegotiationAgent. The agents are configured as shown in the following table.
You need to recommend an identity structure for the agents.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
InvoiceValidationAgent and PaymentApprovalAgent: One blueprint and one agent identity per agent role; VendorNegotiationAgent: An independent blueprint, one agent identity, and one agent user account.
Invoice validation and payment approval are distinct finance roles with different ERP permissions, so each should have its own logical agent identity for least-privilege access and audit attribution. They can remain within the same finance trust boundary while using separate identities. The vendor-negotiation agent operates across an external supplier boundary and should therefore use an independent blueprint/trust boundary. Its dedicated Exchange Online mailbox introduces an additional Microsoft 365 requirement: Microsoft Entra Agent ID supports associating an agent identity with an agent user account when the agent needs resources that require a user object, such as Exchange mailboxes or Teams. Sharing a single identity across all roles would blur audit ownership and expand compromise impact. The answer therefore matches Microsoft ' s current agent-identity separation model. The same configuration should be paired with auditable identity, trace, and evaluation data so reviewers can prove which principal acted, which policy was applied, and why a request was allowed or blocked. That is particularly important for production multi-agent systems with external tools.
Official Microsoft reference: Microsoft Entra Agent ID - plan agent identity architecture
Topic 1, Contoso Ltd Case Study
Overview - Contoso, Ltd. is a health provider. The company is building an Azure-based multi-agent solution to streamline patient triage, access historical medical records, and schedule specialist appointments. Existing Environment - Microsoft Foundry - Contoso has a Microsoft Foundry project named HealthAssist that contains the following agents: Patient Intake: A public-facing chat interface where patients describe their symptoms Record Retrieval: An internal system that retrieves a patient ' s past medical history from a secure database Scheduling: Integrates with an external third-party booking system by using a Model Context Protocol (MCP) server Lead Orchestrator: A workflow agent that makes decisions based on the output of the other agents Knowledge Base - Contoso uses a Retrieval-Augmented Generation (RAG) system that contains clinical documents. Only the Patient Intake agent can access the RAG system. Problem Statements - Contoso identifies the following issues: The MCP server used by the Scheduling agent frequently times out during peak load. Patients report that during the intake process, the session frequently times out silently without indicating why. The issue occurs during workflow execution. Occasionally, the Patient Intake agent cannot extract relevant symptoms when patients provide verbose personal stories that are irrelevant to the medical issue. When the Patient Intake agent engages in long, multi-turn conversations with patients, the accumulating conversation history causes high latency due to massive prompt sizes and risks that exceed the model ' s context window. Requirements - Business Requirements - Contoso identifies the following business requirements: A physician must approve any triage assessments that recommend an emergency room visit.
HealthAssist must be able to handle large spikes in concurrent patient intake requests during flu season.
Before releasing updates to HealthAssist, the clinical team must review the accuracy of the Lead Orchestrator agent triage routing decisions against a set of historical test cases. Safety Requirement - Contoso identifies the following safety requirements: Implement a robust guardrail strategy to prevent HealthAssist from providing inappropriate medical diagnoses. Ensure that all public-facing agents block violence and hate speech. Prevent hardcoding new logic into the agents ' core prompt. Consultant Proposal - A consulting firm proposes the following solution to address various requirements and issues: Add a guardrail that has the highest sensitivity for all controls. Add a system prompt message to direct the agent to ignore hate speech. Implement a short- term memory context window that prompts patients multiple times to verify their symptoms. Add a system prompt message to direct the agent to recommend an emergency room visit if the patient is having heart palpitations. Security Requirements - Contoso identifies the following security requirements: Ensure that the agents do NOT have overlapping permissions to prevent lateral movement. Prevent the agents from accessing patients ' data outside of the current patient context. Ensure that all API keys are securely stored and rotated.
Follow the principle of least privilege, when possible. Performance Requirements - Contoso identifies the following performance requirements: Token usage must be monitored. Long-term semantic memory must be isolated by patient.
NEW QUESTION # 37
You have a Microsoft Foundry helpdesk triage agent. Employees sign in to the agent by using Microsoft Entra. The agent can invoke the following tools:
* A ticket search tool that enforces the existing per employee authorization model
* A knowledge article tool that writes to a separate production article repository You need to recommend an identity-based access configuration for the following execution contexts:
* Ensure that interactive ticket searches enforce per employee authorization.
* Constrain approved article updates to the production article repository The solution must meet the following requirements:
* Prevent the use of embedded secrets.
* Follow the principle of least privilege
Which access configurations should you recommend? To answer, drag the appropriate configurations to the correct execution contexts. Each configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Interactive ticket lookup: Delegated permissions from the signed-in employee; Approved article updates: A managed identity scoped to write production article records.
Ticket search must preserve the existing per-employee authorization model, so the downstream operation should execute in the signed-in employee ' s delegated identity context. That allows the ticket service to enforce the same user-level permissions it already uses. The knowledge-article update is an application- controlled write to one production repository, so a managed workload identity with only the required write permission is the least-privilege choice. Microsoft identity guidance distinguishes delegated/on-behalf-of access for user-context operations from managed or agent identities for service-to-service work. Both approaches also eliminate embedded secrets when configured with Microsoft Entra authentication. A broad Contributor assignment or shared API key would unnecessarily expand the blast radius and weaken audit attribution. Therefore the mixed model in the answer is intentional: delegated permissions for per-user reads, and a narrowly scoped managed identity for controlled production writes. From a security and governance perspective, the control should be enforced at the narrowest platform boundary that can deterministically block or constrain the action. Relying only on prompt text is weaker because the model can still be induced to behave unexpectedly.
Official Microsoft reference: Microsoft Foundry agent identity
NEW QUESTION # 38
You have the following tool integration configuration for a Microsoft Foundry claims-processing assistant.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Yes / Yes / No
The first statement is true because the tool-integration contract returns only the explicitly defined `final_text` from FraudReview to ClaimsPlanner; the planner does not automatically receive the specialist ' s entire internal execution history. The second statement is also true because an external REST service such as PremiumRates can be exposed as an OpenAPI-defined tool. The OpenAPI schema describes operations and parameters, while the surrounding agent system retains conversational state; the REST tool itself does not need a developer-managed chat transcript. The third statement is false under the shown configuration because the partner publishes tool descriptors as published while the planner defines which schemas it accepts or rejects. Compatibility handling therefore occurs at the consumer/tool boundary rather than requiring PartnerIntegrations to rewrite every unsupported schema before invocation. The correct sequence is Yes, Yes, No. At implementation time, the same rule should be expressed through the framework or service configuration rather than left only as a natural-language convention. That makes the behavior repeatable across runs, easier to test, and less sensitive to model variability.
Official Microsoft reference: Microsoft Foundry agents - OpenAPI tools
NEW QUESTION # 39
You are designing a multitenant software as a service (SaaS) platform that uses multiple agents. Users will send latency-sensitive inference requests to the platform by using a shared API.
Initially, there will be 20 tenants, and the platform will expand to 200 tenants.
You need to identify the compute component for a production agent runtime. The solution must meet the following requirements:
Isolate workloads for each tenant by using containerization.
Dynamically scale based on demand.
Minimize administrative effort.
What should you use?
Answer: A
NEW QUESTION # 40
You have a Microsoft Foundry multi-agent solution that routes requests from an intake agent to a retrieval agent, and then to a resolution agent. The retrieval agent uses a knowledge search tool.
Security testing reveals the following recurring issues:
* Some users submit jailbreak-style prompts at the start of a conversation.
* Some retrieved documents contain hidden instructions intended to manipulate the downstream agent The legal department at your company requires that final responses be flagged for review if they contain protected text. You need to configure guardrails to resolve the security issues and meet the legal requirements.
What should you configure?
Answer: A
Explanation:
The three risks occur at three different intervention points. Direct jailbreak attempts originate in the user prompt, so User input attacks should be evaluated at the User input boundary and blocked. Malicious instructions embedded in retrieved documents are indirect prompt-injection attacks and belong at the Tool response boundary before the retrieved content can influence downstream reasoning. Protected material in the final response must be flagged for legal review, not necessarily blocked, so an Output control using annotate- only behavior matches the requirement. Options A and B misplace at least one control or block content that the scenario says should only be flagged. Microsoft Foundry guardrails are explicitly designed around these intervention points, making C the configuration that aligns each risk with the stage where it can be detected and acted upon. From a security and governance perspective, the control should be enforced at the narrowest platform boundary that can deterministically block or constrain the action. Relying only on prompt text is weaker because the model can still be induced to behave unexpectedly.
Official Microsoft reference: Microsoft Foundry guardrails - intervention points
NEW QUESTION # 41
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