Azure Data Factory 面接の質問と回答
質問 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.
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質問 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.
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質問 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.
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質問 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.
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質問 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.
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