Microsoft Azure 面试题与答案
问题 21. Explain Azure Data Factory and its role in data integration.
Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines for moving and transforming data across on-premises and cloud environments.
Example:
Create a data pipeline in Azure Data Factory to copy data from on-premises SQL Server to Azure SQL Database.
问题 22. What is Azure Arc, and how does it extend Azure services to on-premises environments?
Azure Arc is a set of technologies that extends Azure management and services to any infrastructure, including on-premises, multi-cloud, and edge environments. It allows organizations to use Azure services wherever their resources are located.
Example:
Use Azure Arc to manage on-premises servers from the Azure portal: Register on-premises servers with Azure Arc and apply configurations.
问题 23. Explain Azure Synapse Analytics (formerly SQL Data Warehouse) and its key features.
Azure Synapse Analytics is an analytics service that brings together big data and data warehousing. It allows you to analyze large volumes of data using both on-demand and provisioned resources.
Example:
Create a serverless SQL pool in Azure Synapse Analytics and run a query on data stored in Azure Data Lake Storage.
问题 24. What is Azure Policy Initiative, and how does it differ from Azure Policy?
Azure Policy Initiative is a set of policies that are grouped together to enforce compliance for an entire subscription, management group, or tenant. It provides a way to organize and apply policies at scale.
Example:
Define an Azure Policy Initiative to enforce a set of security and compliance policies across multiple subscriptions.
问题 25. Explain the Azure Well-Architected Framework and its pillars.
Azure Well-Architected Framework is a set of best practices for building and optimizing applications in the cloud. Its pillars include Cost Optimization, Operational Excellence, Performance Efficiency, Reliability, and Security.
Example:
Conduct a Well-Architected Review for an Azure solution, identifying areas for improvement and optimization.
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