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?

• A. * User input attacks at User input set to Block
  * Indirect attack at Tool call set to Block
  * Protected material for text at Output set to Block
• B. * User input attacks at User input set to Annotate and block
  * Indirect attack at Tool response and Action set to Annotate and block
  * Protected material for text at Output set to Annotate only
• C. * User output attacks at User output set to Annotate and block
  * Indirect attack at Tool response set to Annotate and block
  * Protected material for text at Output set to Annotate and block

You have a Microsoft Foundry resource that hosts Azure OpenAI model deployments for three projects. Each project is for a different business unit. The projects share the same Foundry resource.
You need to implement a Microsoft Cost Management view that separates the shared model spend by the project The solution must meet the following requirements:
* Use cost data that can be reconciled by using Azure Cost Management.
* Minimize manual tagging.
What should you use?

• A. cost analysis scoped to the Foundry resource with grouping by Resource and saved views for each project
• B. cost analysis scoped to the Foundry resource with a tag filter on project
• C. cost analysis scoped to the subscription with a Service tier: Azure OpenAI filter and budgets for each business unit
• D. cost analysis scoped to the resource group with grouping by Meter and exports for each project

You have a Microsoft Foundry multi-agent assistant that uses a Retrieval-Augmented Generation (RAG)- enabled workflow. A retrieval agent returns document chunks to an answer agent, and the answer agent produces the final response.
You have a dataset that contains query, context, and response without document relevance labels.
You need to implement built-in RAG evaluators that meet the following requirements:
* Identify final responses that include content that is NOT supported by the retrieved context.
* Assess whether the retrieved context chunks and final responses support the user query.
Which evaluator should you use for each requirement? To answer, drag the appropriate evaluators to the correct requirements. 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.

You need to implement an advanced prompt engineering strategy to resolve the Patient Intake agent issues.
The solution must prevent hardcoding new logic into the agent ' s core prompt.
What should you do?

• A. Decrease the context window limit to force the patients to write shorter responses.
• B. Increase the frequency of full model fine-tuning on all the patient chat logs.
• C. Remove defensive guidelines from the prompt to provide the model with more creative freedom.
• D. Inject dynamic context that contains a curated list of few-shot examples illustrating how to parse similar inputs.

You are designing a Microsoft Foundry multi-agent solution for claims processing. The design includes multiple specialized agents.
You need to specify the agent personas. scopes, boundaries, and autonomy levels. The solution must meet the following requirements:
* Provide a clear owner for conflicts between specialist agents.
* Validate agent outputs before downstream agents consume the outputs.
* Prevent specialist agents from invoking tools outside the assigned domain.
* Isolate each business domain so that adding a specialist agent affects only that domain.
What should you do?

• A. Define domain-scoped sub-orchestrators under a claims supervisor, gate each output against a structured contract, and route conflicts through the supervisor.
• B. Define domain-scoped workflows that have local quality gates, publish the accepted results to a shared case state, and let the consuming domains resolve conflicts.
• C. Define a claims hub that has direct specialist delegation, gate the final settlement output against a checklist, and route conflicts through the hub.
• D. Define connected agents grouped by domain under a main agent, use natural-language delegation, and accept narrative summaries from the specialist agents.