Ideal Integration Runtime for Azure Data Factory

Correct Answer: A.

There are currently three types of Integration Runtime for Azure Data Factory.

They have different capabilities and network support.Public and Private network support for Data Movement is available for Both SHIR and Azure integration runtime.

But in case of data flow, it is available only for Azure runtime.

The ability to copy between cloud stores is available for both.

Yes, Azure Integration Runtime (IR) can be used to meet the given requirement.

Azure Integration Runtime is a data integration service that enables you to create, schedule, and manage data integration pipelines between cloud and on-premises data sources. It provides a scalable and secure method for moving data between different data stores and processing data using various transformation activities.

Regarding the first consideration point, Azure Integration Runtime supports both public and private network connectivity for Data Flow and Data Movement. When using the Azure IR, you can configure the Integration Runtime to use either public network connectivity or private network connectivity, depending on your security and compliance requirements. This ensures secure and efficient data transfer between different data stores.

For the second consideration point, Azure Integration Runtime provides the ability to run copy activities between cloud data stores, which includes Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, and other cloud-based data sources. With the help of the Azure IR, you can easily copy data from one cloud data store to another, and transform the data during the copy process if needed.

Therefore, based on the given requirements, Azure Integration Runtime is a suitable option to use for setting up Azure Data Factory.