Azure Data Factory 面试题与答案
问题 6. Explain the difference between a pipeline and a data flow in Azure Data Factory.
A pipeline defines the overall process and workflow, while a data flow defines the data transformations within that process.
这有帮助吗？
添加评论
查看评论
问题 7. What is a Dataset in Azure Data Factory?
A dataset represents the structure of the data that is being processed. It can be an input or output of an activity in a pipeline.
这有帮助吗？
添加评论
查看评论
问题 8. Explain Azure Data Factory Data Flow.
Data Flow is a cloud-based data transformation service that enables data transformations and manipulations using a visual interface.
这有帮助吗？
添加评论
查看评论
问题 9. How does Azure Data Factory handle security?
Azure Data Factory supports Azure role-based access control (RBAC) to control access to resources. It also provides features like managed private endpoints for secure data movement.
这有帮助吗？
添加评论
查看评论
问题 10. What is Azure Data Factory Integration Runtimes?
Integration Runtimes define the compute infrastructure used by data factory for data movement and data transformation activities.
这有帮助吗？
添加评论
查看评论
用户评价最有帮助的内容：