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Mastering data integration and transformation is vital for Azure Data Engineers, as these skills support analytics and decision-making processes. This article explores interview questions focused on the ETL (Extract, Transform, Load) process, including specific Azure tools such as Data Factory and Databricks. We also cover scenarios related to data transformations, pipeline optimization, and error handling. By understanding these questions, you'll be better equipped to demonstrate your ability to manage complex data workflows and transformations, key skills sought by top employers in Azure data engineering roles.
