Azure Data Factory 面试题与答案
问题 11. Explain the concept of fault tolerance in Azure Data Factory.
Azure Data Factory provides fault tolerance through retry policies for activities, and it supports monitoring and logging for troubleshooting.
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问题 12. How can you monitor and manage Azure Data Factory?
Azure Data Factory provides monitoring dashboards, logging, and integration with Azure Monitor for tracking and managing pipeline executions.
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问题 13. What is the difference between Azure Data Factory and Azure Logic Apps?
Azure Data Factory is primarily focused on data integration and ETL, while Azure Logic Apps are designed for workflow automation and business process integration.
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问题 14. Explain the concept of dynamic content in Azure Data Factory.
Dynamic content allows you to use expressions and system variables to parameterize values in your pipeline, making them more flexible and reusable.
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问题 15. What is the purpose of Azure Data Factory triggers?
Triggers in Azure Data Factory are used to automate the execution of pipelines based on a schedule or an event.
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