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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design AI-powered business solutions | 30% | - Extensibility and orchestration
|
| Topic 2: Deploy AI-powered business solutions | 45% | - Monitoring and optimization
|
| Topic 3: Plan AI-powered business solutions | 25% | - AI solution design strategy
|
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NEW QUESTION # 64
A customer service agent deployed in Copilot Studio is receiving negative feedback from users.
The support team reports that the agent frequently provides incorrect answers about product warranty policies. The team wants to diagnose and resolve the issue.
Which monitoring approach should you recommend?
Answer: C
Explanation:
Effective agent monitoring starts with analysing conversation transcripts and topic analytics to understand exactly where the agent is failing. By reviewing which topics trigger when warranty questions are asked, you can determine whether the issue is incorrect topic routing, outdated knowledge source content, or poorly designed conversation flows. This diagnostic approach enables targeted fixes rather than wholesale rebuilding.
NEW QUESTION # 65
A company has a Microsoft Power Platform environment.
You need to build two agents named Agent1 and Agent2. The solution must meet the following requirements:
* Agent1 must be extendable by using the Semantic Kernel and must connect to multiple business apps and APIs.
* Agent2 must connect directly to data stored in Microsoft Dataverse and must be embeddable in a Microsoft Power Apps canvas a pp.
What should you use to build each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer : =
* Agent1 # Microsoft Foundry
* Agent2 # Copilot in Power Apps
Comprehensive and Detailed Explanation from Agentic AI Topics:
For Agent1 , the requirement is that it must be extendable by using Semantic Kernel and connect to multiple business apps and APIs . The best fit is Microsoft Foundry because Foundry-based agents are designed for extensibility and developer-oriented orchestration, including integration patterns that work well with Semantic Kernel and external tools/APIs.
For Agent2 , the requirement is that it must connect directly to Microsoft Dataverse and be embeddable in a Power Apps canvas app . The best fit is Copilot in Power Apps , because it is designed for Power Platform-native experiences, works naturally with Dataverse-backed app data , and is intended for embedding AI experiences inside canvas apps .
Why the other options are not the best match:
* Azure Logic Apps is for workflow orchestration, not the primary platform for building these agents.
* Microsoft Copilot Studio is strong for conversational agents, but the wording here points more directly to Power Apps-native embedding for Agent2 and Semantic Kernel extensibility for Agent1.
NEW QUESTION # 66
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: A
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 hub A hub is used more for organizing and managing AI resources/projects, not specifically for dynamic runtime tool exposure.
* C. Microsoft Copilot Studio Copilot Studio is for building conversational agents and workflows, but the question is specifically about dynamic external tool use in Foundry agents .
* D. Azure AI Search Azure AI Search is for indexing and retrieving knowledge, not for dynamically exposing executable external tools.
NEW QUESTION # 67
A company has an AI solution that uses Azure OpenAI models.
You need to recommend a governance solution that monitors and audits changes to model configurations and data usage. The solution must minimize administrative effort.
What should you include in the recommendation?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answer is E. Microsoft Purview.
This question is centered on governance, specifically the need to:
monitor changes to model configurations
audit data usage
minimize administrative effort
That combination points most strongly to Microsoft Purview.
Why E is correct
Microsoft Purview is Microsoft's core platform for data governance, compliance, auditing, information protection, and lifecycle oversight. When an organization is using Azure OpenAI models and needs a governance-oriented solution for monitoring and auditing how data is used, Purview is the best fit among the listed options.
From an AI business solutions perspective, governance is broader than infrastructure monitoring. It includes:
understanding how sensitive data is handled
tracking access and usage patterns
supporting audit and compliance needs
helping investigate data exposure concerns
enforcing information governance practices across AI-enabled workloads
Purview is especially strong when the requirement includes auditing data usage because that is a governance and compliance concern, not just a performance or telemetry concern.
It also minimizes administrative effort because it provides centralized governance capabilities rather than requiring the company to stitch together multiple lower-level services for oversight.
Why the other options are incorrect
A). Azure Monitor
Azure Monitor is useful for telemetry, logs, metrics, and operational monitoring. It helps observe system performance and activity, but it is not the best primary governance solution for auditing data usage and broader compliance oversight.
B). Azure Stream Analytics
This service is used for real-time stream processing and analytics. It does not address governance and audit requirements for Azure OpenAI model configurations and data usage.
C). Azure API Management
API Management helps publish, secure, and manage APIs. It is valuable for access mediation and control, but it is not the main governance and auditing platform for data usage and model-configuration oversight.
D). Azure Policy
Azure Policy is very strong for enforcing resource configuration standards and compliance rules at deployment and configuration time. However, the question also emphasizes auditing data usage, which is better aligned to Purview's governance capabilities. Policy is more about enforcement of resource state; Purview is stronger for governance, auditing, and data oversight.
Expert reasoning
Use this exam shortcut:
Need operational logs and metrics # Azure Monitor
Need deployment/configuration enforcement # Azure Policy
Need data governance, auditing, compliance, and information oversight # Microsoft Purview Because the question emphasizes both changes and data usage auditing with a governance lens, Microsoft Purview is the strongest answer.
NEW QUESTION # 68
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company has a team that analyzes its customers by using a manual process.
You are designing an AI-based agent to automate and improve the process.
You need to recommend on which platform to build the agent.
The solution must meet the following requirements:
* Use generative AI to answer common questions.
* Provide analytics to review AI performance.
* Identify customer demographics.
* Minimize custom development.
Solution: You recommend Microsoft Security Copilot.
Does this meet the goal?
Answer: A
NEW QUESTION # 69
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