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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop multi-agent solutions in Azure | 30โ35% | - Implement agents using Azure AI services
|
| Topic 2: Architect multi-agent solutions | 15โ20% | - Design workflow and tool integration
|
| Topic 3: Evaluate, optimize, and monitor multi-agent solutions | 20โ25% | - Implement observability
|
| Topic 4: Secure, govern, and deploy multi-agent solutions | 20โ25% | - Apply security and compliance
|
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NEW QUESTION # 70
You have a Microsoft Foundry multi-agent solution that includes the following agents:
* An orchestrator agent
* A supplier worker agent that runs the APIs of external suppliers
* A finance worker agent that has confidential enterprise resource planning {ERP) access You need to implement resource access boundaries that meet the following requirements:
* Limit the blast radius if a worker agent is compromised.
* Allow each agent to access only its required downstream resources.
What should you configure? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Identity structure: Separate blueprints for the orchestrator agent and each worker group; Permission assignment: Assign role-specific downstream permissions to each agent identity.
The supplier and finance workers operate in different trust domains: one reaches external supplier APIs while the other has confidential ERP access. Microsoft Entra Agent ID guidance recommends separating blueprint
/identity trust boundaries when compromise of one agent must not expose unrelated credentials or permissions. Each logical agent identity should then receive only the downstream roles required for its own function. This creates clear audit attribution and limits lateral movement. Giving all workers the same role or routing every privileged operation through an overly powerful orchestrator would expand the blast radius.
Creating an identity for every runtime replica is unnecessary when replicas represent the same logical agent role. The correct structure therefore separates the orchestrator and worker trust domains and assigns role- specific permissions to each identity rather than sharing a common authorization envelope. 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
NEW QUESTION # 71
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: C
NEW QUESTION # 72
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 # 73
You have a multi-agent customer support solution in a Microsoft Foundry project.
You have a dataset that contains query, context, and response without document relevance labels.
You need to implement built-in evaluators that provide 1 to-5 scores with pass/fail labels for the following metrics:
* The quality of the retrieved context
* How directly a response answers a query
Which evaluator should you use for each metric? To answer, drag the appropriate evaluators to the correct metrics. Each evaluator 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:
Quality of retrieved context: Retrieval evaluator; Directness of response to query: Relevance evaluator.
The dataset contains query, context, and response but does not contain document relevance labels. Microsoft ' s Retrieval evaluator is designed for exactly that situation: it uses an LLM judge to rate how relevant the retrieved context chunks are to the query and returns a 1-to-5 score with pass/fail behavior. The Relevance evaluator operates on the final response and measures whether the answer accurately, completely, and directly addresses the query. Document Retrieval is not appropriate because it requires retrieval ground truth such as known relevant documents or qrels. Groundedness answers a different question: whether response claims are supported by the provided context. Therefore the correct mapping is Retrieval for context quality and Relevance for response directness. For operational use, the measurement should be captured in a repeatable dataset, trace, or automated gate so that the same criterion can be compared across versions. That is more useful than a one-off manual observation and makes regressions visible before they become production incidents.
Official Microsoft reference: Microsoft Foundry - RAG evaluators
NEW QUESTION # 74
You have a production-readiness review that includes the following Microsoft Foundry Agent Service Model Context Protocol (MCP) tool configuration, discovered MCP tool metadata, and quality-gate rules.
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:
No / No / Yes
The ADO MCP configuration does not satisfy the stated production gate because it lacks the required allowed- tool restriction and disables approval; its discovered schema also conflicts with the gate ' s schema restrictions. The GitHub configuration likewise cannot be considered schema-compliant based on the shown metadata. The third statement, however, is true: Microsoft Foundry MCP tool configuration supports an
`allowed_tools` allowlist that limits which discovered MCP tools are exposed to the agent. Adding ` " allowed_tools " : [ " get_profile " ]` therefore restricts the GitHub MCP integration to that tool, assuming the name matches the discovered tool exactly. This control is materially stronger tha n relying on prompt instructions because excluded tools are not presented as available choices. The corrected sequence is No, No, Yes. 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 Foundry agents - Model Context Protocol tools
NEW QUESTION # 75
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