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You are designing a big data storage solution. The solution must meet the following requirements: * Provide unlimited account sizes. * Support a hierarchical file system. * Be optimized for parallel analytics workloads. Which storage solution should you use?
Correct Answer: A
Azure Data Lake Storage is optimized performance for parallel analytics workloads A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. References: https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace