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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate, optimize, and monitor multi-agent solutions | 20-25% | - Implement observability and monitoring
|
| Topic 2: Secure, govern, and deploy multi-agent solutions | 20-25% | - Design and implement guardrails
|
| Topic 3: Architect multi-agent solutions | 15-20% | - Design logical architecture for multi-agent solutions
|
| Topic 4: Develop multi-agent solutions in Azure | 30-35% | - Build and integrate tool ecosystems
|
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NEW QUESTION # 21
You have a Microsoft Foundry agent named Agent1.
You open Agent1 in the playground and update the instructions.
You need to run a full evaluation against the updated instructions. The solution must meet the following requirements:
* Test the changes by using a synthetic dataset.
* Ensure that the changes are available only for the development team that has access to Agent1.
What should you do first?
Answer: D
Explanation:
The instructions changed in the playground, but a full evaluation needs a stable, versioned agent definition.
Saving the changes as a new version creates an immutable snapshot that can be evaluated against a synthetic dataset while remaining inside the project for the development team. Publishing is a later lifecycle action that makes a version available to broader consumers or production endpoints and is not required for a private development evaluation. Previewing exercises the current playground configuration interactively but does not establish the versioned target needed for repeatable evaluation. Creating an evaluation before saving the new version risks evaluating the previous configuration instead of the intended update. Microsoft Foundry ' s development lifecycle separates edit, save/version, evaluate, and publish stages, so A is the correct first action. A robust evaluation program separates process metrics from final-response metrics. The selected answer measures the layer where the stated failure actually occurs, which is essential for deciding whether to change retrieval, orchestration, prompt behavior, or the final generator.
Official Microsoft reference: Microsoft Foundry agents - development lifecycle
NEW QUESTION # 22
You need to define a strategy to meet the business requirements for emergency room visits.
Which workflow node should you add to the Lead Orchestrator workflow?
Answer: B
Explanation:
The business requirement says that a physician must approve any triage assessment that recommends an emergency room visit. The workflow must therefore pause and collect a human response before continuing.
Ask a question is the option that introduces that interactive human-in-the-loop step. Deliver a message only informs someone; it does not capture a decision. Agent invokes another AI component, which would not satisfy the explicit requirement for a physician ' s approval. Go to changes the workflow path but likewise does not obtain human authorization. Microsoft Agent Framework documents human-in-the-loop request
/response patterns for cases where execution must wait for approval or additional human input. For a medical escalation decision, the control must be deterministic and auditable rather than encoded as a prompt suggestion. Consequently, Ask a question is the workflow node that best enforces the business requirement.
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 Agent Framework - Human-in-the-loop workflows
NEW QUESTION # 23
You have a LangGraph multi-agent workflow that uses Azure Cosmos DB as a checkpointer.
You plan to change the pruning rules for the running message list before the next release You need to implement evaluations tor memory. The solution must meet the following requirements:
* Verify that claim-related state values remain correct at transition points.
* Verify that conversation context is preserved after an interruption.
* Identify the source of any loss of continuity during a run
Which three actions should you perform Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.
Answer: A,C,E
Explanation:
Memory evaluation must verify persistence across interruption, correctness of checkpointed state, and enough telemetry to locate where continuity was lost. Running a scripted multi-turn case with one stable `thread_id` before and after a restart directly tests whether the Cosmos-backed LangGraph checkpointer restores the same conversation/workflow. Comparing persisted checkpoint documents with expected state values at each handoff verifies that claim-related state has not been corrupted by the new pruning rules. Correlating the evaluation run with trace spans then provides the diagnostic path to identify which agent transition or state- management operation caused a failure. Changing the thread ID each turn would intentionally create separate state scopes, and removing durable artifacts would defeat the persistence test. Tool-call arguments alone do not prove workflow-memory continuity. Therefore D, E, and F are the complementary actions required. The evaluation should also preserve correlation identifiers and version information where possible so a failed score can be traced back to the exact agent, model, tool call, or retrieval step that produced it. This turns the metric into an actionable diagnostic rather than only a dashboard number.
Official Microsoft reference: Azure Cosmos DB integrations for LangGraph and agent state
NEW QUESTION # 24
You are designing a Microsoft Foundry multi-agent solution. The solution includes a triage agent that receives a request and passes the request to one of three specialist agents.
Only one agent will be active at a time. The active agent must be able to transfer control to a better-suited agent based on context.
Which orchestration pattern should you recommend for the planned solution?
Answer: B
Explanation:
Only one agent should be active at a time, and the active agent must be able to transfer control dynamically when another specialist is better suited. Microsoft Agent Framework defines handoff orchestration for precisely that situation: task and conversational ownership move from one agent to another according to context. Concurrent orchestration would activate multiple specialists at the same time, contradicting the requirement. Sequential orchestration follows a predetermined order rather than allowing contextual transfer.
Group chat keeps multiple agents participating in a shared conversation rather than modeling single-owner control. The decisive requirement is therefore transfer of ownership, not merely calling another agent for a subtask. That makes B, handoff, the correct orchestration pattern. In production, add telemetry and regression tests around this behavior so changes to prompts, models, tools, or orchestration do not silently alter the intended contract. The selected approach is the one that best matches the platform ' s native execution semantics.
Official Microsoft reference: Microsoft Agent Framework - Handoff orchestration
NEW QUESTION # 25
You have a Microsoft Agent Framework solution for customer support that includes the following agents:
* A triage agent
* A refund specialist agent that runs in the same process as the triage agent
* A compliance review agent that is exposed by a partner team as a remote service You need to identify which integration components the triage agent will use to coordinate interactions with the other agents.
What should you identify for each agent? To answer, drag the appropriate components to the correct agents Each component 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:
Refund specialist agent: Agent-as-tools; Compliance review agent: Agent-to-Agent (A2A) protocol.
The refund specialist runs in the same process as the triage agent, so exposing it as an agent-as-tool is the lightweight composition pattern. The outer triage agent can decide when to invoke the specialist while retaining overall task ownership. The compliance reviewer is different: it is a remote service owned by a partner team. Agent-to-Agent (A2A) is the interoperable protocol intended for independently hosted agents that may use a different runtime or framework. It supports capability discovery and remote task interaction without coupling the caller to the partner ' s implementation. Using A2A for the in-process specialist would add unnecessary network/protocol complexity, while treating the partner agent as an in-process tool would not match the deployment boundary. The two selections therefore reflect Microsoft ' s distinction between local agent composition and remote agent interoperability. The implementation should also preserve clear inputs and outputs around this step so that later agents receive only the information they require. This improves debuggability and keeps token, permission, and state growth under control as the workflow becomes more complex.
Official Microsoft reference: Microsoft Agent Framework - agents as tools and A2A
NEW QUESTION # 26
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