Microsoft AI-500 real exam prep : Designing and Implementing Multi-Agent AI Solutions

You have a Microsoft Foundry multi-agent solution. The solution includes an orchestrator that uses Azure Al Search as a semantic cache to shortlist agents and invokes the top match.
You have a version-controlled repository that contains a curated dataset, expected routing, and expected responses. A pull request adds an agent named Agent 1, new sample utterances, and a changed selector prompt.
You need to configure an automated prerelease evaluation gate for the pull request. The solution must meet the following requirements:
* Validate the integrated system response after the new agent is available to orchestration.
* Validate the semantic cache retrieval quality against the expected results.
* Keep regression tests aligned with the pull request changes.
How should you configure the evaluation gate? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You have a Microsoft Agent Framework multi-agent workflow. The workflow includes a context provider that injects a condensed memory summary into each agent invocation. Requirements and acceptance criteria are stored in GitHub issues.
During a long-running workflow, the acceptance criteria changes. Later agents sometimes apply the earlier criteria. Token telemetry shows condensed summaries grow across handoffs. causing older content to be truncated.
You need to ensure that the later agents use the current requirements. The solution must limit context window growth.
What should you do?

• A. Build each handoff context from the current GitHub issue state and discard invalidated memory.
• B. Persist the workflow thread in Azure Cosmos DB and retrieve transcript excerpts during each handoff.
• C. Give each subagent a GitHub issue lookup tool and continue injecting a shared summary.
• D. Use a larger-context model and retain an accumulated workflow summary for handoffs

You need to recommend an end-to-end release lifecycle for claim Approval. The solution must meet the technical requirements.
What should you recommend for each requirement? To answer, drag the appropriate recommendations to the correct requirements. Each recommendation 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.

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.

• A. Capture the tool.call.arguments and tool.call.results attributes as the memory evaluation data for each tool invocation.
• B. Correlate the evaluation run ID with trace spans for agent-to-agent interactions and state management.
• C. Run a scripted multi-turn case through all the agents by using a single thread id before and after a process restart.
• D. Store the expected values in short-term memory and remove durable external artifacts before each run.
• E. Run each turn with a different threaded and evaluate the final response text for the case.
• F. Compare the persisted checkpoints documents for the evaluation thread_id with the expected State values after each handoff.

You have a Microsoft Foundry Agent Service solution that includes two agents You need to configure memory for the agents. The solution must meet the following requirements:
* Isolate the memory between end users
* Isolate the memory between the agent domains.
* Support the deletion of one user ' s memory without deleting other users ' memory.
Solution: You create one memory store per end user and configure both agents to use each user ' s memory store with a static scope value.
Does this meet the goal?

• A. Yes
• B. No