Azure Data Factory Questions et reponses d'entretien
Question 21. Explain the concept of Azure Data Factory Data Flow Debug Mode.
Data Flow Debug Mode allows you to interactively debug and validate data flows during development to identify and fix issues.
Question 22. What is the purpose of the Azure Data Factory Copy Data tool?
The Copy Data tool is a wizard-based tool in Azure Data Factory that helps you create, configure, and execute copy data activities for moving data between supported sources and destinations.
Question 23. Explain the concept of data lineage in Azure Data Factory.
Data lineage in Azure Data Factory provides a visual representation of the flow and transformation of data throughout the pipeline, helping in tracking and understanding data movements.
Question 24. How can you handle schema drift in Azure Data Factory?
Schema drift is handled through mapping data flow transformations that dynamically adjust to changes in the source or destination schema during data movement.
Question 25. What is the purpose of the Azure Data Factory REST API?
The REST API allows you to programmatically manage and monitor Azure Data Factory resources, such as pipelines, datasets, and activities.
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