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The solution must meet the following requirements:

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(@hevesywilber)
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You have an Azure subscription that contains an Azure Data Lake Storage account. The storage account contains a data lake named DataLake1.

You plan to use an Azure data factory to ingest data from a folder in DataLake1, transform the data, and land the data in another folder.

You need to ensure that the data factory can read and write data from any folder in the DataLake1 file system.

The solution must meet the following requirements:

✑ Minimize the risk of unauthorized user access.

✑ Use the principle of least privilege.

✑ Minimize maintenance effort.

How should you configure access to the storage account for the data factory? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Box 1: Azure Active Directory (Azure AD)

On Azure, managed identities eliminate the need for developers having to manage credentials by providing an identity for the Azure resource in Azure AD and using it to obtain Azure Active Directory (Azure AD) tokens.

Box 2: a managed identity

A data factory can be associated with a managed identity for Azure resources, which represents this specific data factory. You can directly use this managed identity for Data Lake Storage Gen2 authentication, similar to using your own service principal. It allows this designated factory to access and copy data to or from your Data Lake Storage Gen2.

Note: The Azure Data Lake Storage Gen2 connector supports the following authentication types.

✑ Account key authentication

✑ Service principal authentication

✑ Managed identities for Azure resources authentication


   
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