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NEW QUESTION # 108
A startup wants to build a customizable, agent-based workflow that can integrate with their internal APIs, retrieve contextual data from various sources, and run complex business logic autonomously. The team has moderate engineering skills but explicitly wants to avoid the overhead of managing underlying infrastructure. Which Microsoft AI service model best fits this requirement for building and deploying their agent-based solution?
Answer: C
Explanation:
PaaS (Microsoft Foundry + Azure OpenAI + Azure AI Search + Prompt Flow) is correct because Platform-as-a-Service models, particularly those leveraging Azure AI services, provide the necessary tools and flexibility for building custom AI agents and orchestration. Microsoft Foundry (formerly Azure AI Foundry) offers a comprehensive environment, Azure OpenAI provides the LLM power, Azure AI Search enables contextual data retrieval, and Prompt Flow helps with orchestration and evaluation. Crucially, PaaS abstracts away infrastructure management, aligning with the startup's requirement.
References:
https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/prompt-flow
https://www.microsoft.com/en-us/ai
NEW QUESTION # 109
A company uses Microsoft Foundry agents.
You need to ensure that an agent can dynamically use external tools at runtime without updating the agent.
What should you include in the solution?
Answer: B
Explanation:
The correct answer is A. a Model Context Protocol (MCP) server.
In Microsoft Foundry agent scenarios, MCP is used to let an agent discover and use external tools dynamically at runtime without requiring the agent itself to be modified each time a new tool or capability is added.
Why this is correct:
MCP standardizes how tools are exposed to agents
It allows the agent to connect to external capabilities in a flexible, runtime-driven way New tools can be made available through the MCP server without rebuilding or updating the core agent definition This directly matches the requirement:
"ensure that an agent can dynamically use external tools at runtime without updating the agent." Why the other options are not correct:
B). a Microsoft Foundry hubA hub is used more for organizing and managing AI resources/projects, not specifically for dynamic runtime tool exposure.
C). Microsoft Copilot StudioCopilot Studio is for building conversational agents and workflows, but the question is specifically about dynamic external tool use in Foundry agents.
D). Azure AI SearchAzure AI Search is for indexing and retrieving knowledge, not for dynamically exposing executable external tools.
NEW QUESTION # 110
A company has a Microsoft Foundry generative Al model.
You need to evaluate the model ' s output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
Answer: C
Explanation:
The requirement says the evaluation must:
measure overall quality and coherence of generated responses
use GPT-4o as a judge
return a numeric score for each output
That maps directly to AI quality (AI assisted).
Why D is correct:
AI-assisted quality metrics use a strong model such as GPT-4o to evaluate generated outputs against qualitative dimensions like coherence, relevance, completeness, and overall response quality, and then assign scores.
Why the other options are not correct:
A). Groundedness checks whether the answer is supported by the source/context, not overall quality and coherence.
B). AI quality (NLP) usually refers to traditional NLP-style metrics rather than judge-model scoring with GPT-
4o.
C). risk and safety evaluates harmfulness, toxicity, jailbreak risk, or policy concerns, not overall response quality.
NEW QUESTION # 111
A company has two Microsoft Power Platform environments named Dev1 and Prod1. A Microsoft Copilot Studio agent named Agent1 is built into a solution in the Dev1 environment.
You plan to deploy Agent1 to Prod1.
You need to make Agent1 available to the users in Prod1. The solution must minimize administrative effort.
What should you do?
Answer: A
Explanation:
To deploy a Microsoft Copilot Studio agent to a second environment while minimizing administrative work, you should use managed solutions and Power Platform Pipelines (or manual export/import if pipelines are not configured).
Follow these steps to move and share the agent effectively:
1. Prepare the Solution (Source Environment)
Since your agent is already in a solution, ensure all its dependencies are included to avoid
"missing component" errors during import.
2. Export and Import
To minimize manual labor, use a Managed Solution for the target environment. Managed solutions are easier to update or remove later and prevent accidental direct edits in production.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-import-export
NEW QUESTION # 112
Which tools should you recommend to assist the CISO and the CIO with their specific responsibilities? To answer, drag the appropriate tools to the correct executives. Each tool 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:
CISO # Azure Resource Graph Explorer
CIO # Microsoft Purview
Comprehensive and Detailed Explanation from Agentic AI Topics:
The CISO is responsible for discovering and inventorying AI resources for auditing across multiple Azure subscriptions. The best tool for that is Azure Resource Graph Explorer, because it is designed to query Azure resources at scale across subscriptions and provide visibility into what AI-related resources exist for governance and audit purposes.
The CIO is responsible for ensuring that appropriate security labels are assigned to the data used by the AI agents. The best tool for that is Microsoft Purview, because Purview supports data governance, classification, sensitivity labeling, and compliance management across enterprise data assets.
Why the other options are not correct:
Azure Blob Storage is storage, not the primary tool for discovery/inventory or labeling governance.
Copilot Studio is for building and managing agents, not for Azure-wide AI resource inventory or enterprise data labeling.
NEW QUESTION # 113
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