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Microsoft Certified: Azure Solutions Architect Expert · Microsoft
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Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines that can move and transform data across different sources and destinations, including Azure Blob Storage and Azure Data Lake Storage. Azure Databricks is a cloud-based analytics platform that allows you to process large amounts of data using Apache Spark. It can also be used for data transformation and ETL, but it requires more technical expertise and development effort than using Azure Data Factory mapping data flows. Azure Storage Sync is a service that allows you to sync on-premises file servers with Azure file shares, but it does not support data transformation. Azure Data Box Gateway is a hardware device that allows you to transfer large amounts of data to Azure, but it does not support data transformation using mapping data flow.
C. Azure Data Factory Azure Data Factory is the appropriate service to use for transforming data using mapping data flow. Mapping data flow is a feature in Azure Data Factory that allows you to visually design, build, and manage data transformation processes without writing any code. You can use mapping data flow in Azure Data Factory to transform the data files in Azure Blob Storage and move them to Azure Data Lake Storage as per your requirements.