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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan AI-powered business solutions | 25% | - AI strategy and requirements analysis
|
| Topic 2: Deploy AI-powered business solutions | 45% | - Monitoring and optimization
|
| Topic 3: Design AI-powered business solutions | 30% | - Extensibility and orchestration
|
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質問 # 41
You need to design a Microsoft Copilot Studio agent for customer support. The agent must securely retrieve product warranty data from a REST API. The solution must minimize development effort. What should you include in the design?
正解：C
解説：
The requirement is to build a Microsoft Copilot Studio agent that can securely retrieve product warranty data from a REST API while minimizing development effort.
The best choice is D. Create a custom connector in Copilot Studio and use the connector to call the API.
Why this is correct:
A custom connector is the standard low-code way to integrate Copilot Studio with a REST API. It lets the agent call the external warranty service securely, using supported authentication methods, without requiring heavy custom development. This directly satisfies both key requirements:
secure retrieval of warranty data
minimal development effort
質問 # 42
A company uses Microsoft 365 and Dynamics 365
You need to recommend a solution to automatically summarize email threads, generate suggested replies in Microsoft Outlook, and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend a classic Microsoft Dataverse workflow.
Does this meet the goal?
正解：B
質問 # 43
A company has a Microsoft 365 tenant in Canada and multiple Microsoft Power Platform environments in Canada and the United States. The company plans to deploy a Microsoft Copilot Studio agent to the Canadian environment that will use:
* Microsoft Dataverse data stored in Canada
* A connector that connects to an Azure OpenAI instance in the United States You need to ensure that the agent adheres to data residency and data movement policies before being deployed. What should you do?
正解：C
解説：
The key issue is that the agent will run in a Canadian environment and use:
* Dataverse data stored in Canada
* a connector to Azure OpenAI in the United States
That means data may need to move across regions . Before deployment, the organization must make sure this cross-region use is explicitly allowed under the platform's data movement and residency controls.
That makes C the correct answer.
Why C is correct:
* It directly addresses the fact that the solution uses services in different geographic regions
* It ensures the environment and its connector dependencies are configured to allow that movement in line with platform policy
* It is the most specific action tied to data residency and data movement compliance before deployment Why the other options are not correct:
* A. Ensure that the data processed by Azure OpenAI is stored in the United States. This does not address whether the cross-region movement itself is permitted.
* B. From the Microsoft Purview portal, validate the Data loss prevention settings. DLP helps govern connector usage and data exfiltration, but the question is specifically about data residency and cross-region data movement .
* D. Migrate the tenant to the United States. This is unnecessary and does not align with the stated Canadian deployment requirement.
質問 # 44
You need to recommend a Microsoft Power Platform business solution that consolidates data from multiple internal and external data sources. The solution must meet the following requirements:
Provide the data as a centralized source for multiple AI systems, including Microsoft Copilot Studio agents, Dynamics 365 applications, and external AI models.
Support built-in data classification and protection policies.
Provide data for grounding and analytics.
What should you include in the recommendation?
正解：D
解説：
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answer is A. Microsoft Dataverse .
This question is asking for a Microsoft Power Platform business solution that can act as a centralized data foundation across multiple AI and business application workloads. The requirements are very specific:
* consolidate data from multiple internal and external sources
* serve as a centralized source for Copilot Studio agents , Dynamics 365 , and external AI models
* support built-in data classification and protection policies
* provide data for grounding and analytics
Among the options, Microsoft Dataverse is the best fit.
Why A is correct
Microsoft Dataverse is the native business data platform for Microsoft Power Platform and Dynamics 365. It is designed to act as a structured, centralized, governed source of business data. That makes it the strongest answer when the scenario explicitly involves:
* Copilot Studio
* Dynamics 365
* broader Power Platform
* governed enterprise business data
* AI grounding and analytics
Dataverse supports these needs because it provides:
* a common business data model
* secure centralized storage
* integration across Power Platform and Dynamics 365
* metadata-rich tables and relationships
* role-based security
* support for business rules and governance
* compatibility with analytics and AI-based experiences
From an AI business solutions perspective, Dataverse is especially strong because it can act as the single source of truth for enterprise business data that powers both transactional applications and AI systems.
Why Dataverse fits the AI requirements
For AI systems, especially Copilot and agent scenarios, centralized structured business data is essential for:
* grounding responses in current operational data
* supporting retrieval across customer, sales, finance, or service records
* enabling governed access to sensitive information
* providing high-quality data for downstream reporting and analytics
Dataverse also aligns well with the requirement for built-in data classification and protection policies , because it works within Microsoft's enterprise governance ecosystem and supports security, auditing, and compliance-oriented controls better than the other listed options in a Power Platform business context.
Why the other options are incorrect
B). Azure Data Lake Storage
Azure Data Lake Storage is excellent for large-scale analytics and raw data storage, but it is not the best Power Platform business solution answer here. It lacks the same native business application integration and governed operational data model that Dataverse provides for Copilot Studio and Dynamics 365 scenarios.
C). a Microsoft Power BI semantic model
A semantic model is useful for reporting and analytics, but it is not the central operational data platform for multiple AI systems. It sits more at the reporting layer than the transactional and grounding layer.
D). Azure Cosmos DB
Cosmos DB is a scalable NoSQL database, but it is not the native Microsoft Power Platform business data platform for Dynamics 365 and Copilot Studio integration. It also does not provide the same built-in business data modeling and governance experience expected here.
Expert reasoning
When the question combines:
* Power Platform
* Dynamics 365
* Copilot Studio
* centralized business data
* governance
* AI grounding
the best answer is almost always Microsoft Dataverse .
質問 # 45
A company plans to deploy a Microsoft Copilot Studio agent that will analyze historical business data to predict customer behavior.
The data is currently stored in an Azure SQL database, flat files, APIs, and logs.
You need to organize the data into a format that can be used as a knowledge source in Copilot Studio.
What should you include in the solution?
正解：D
解説：
Microsoft Copilot Studio agents can analyze customer behavior by leveraging business data from Azure SQL, files, and APIs by using Azure AI Search as a knowledge source. By importing and vectorizing this structured and unstructured data into an Azure AI Search index, the agent can perform semantic, meaning-based searches to retrieve context-relevant information.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
質問 # 46
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