Free sampleDescribe Considerations for Working with Non-Relational Data on Azuremedium
An organization wants to build an enterprise data lake for big data analytics on top of Azure Storage. Which capability of Azure Blob storage supports this?
- AIt provides managed file shares accessible over the SMB and NFS protocols
- BIt includes support for big data analytics through Azure Data Lake Storage Correct
- CIt offers a key/attribute NoSQL store with a flexible schemaless design
- DIt supplies block-level virtual hard disk volumes attached to a virtual machine
Azure Blob storage supports big data analytics through Azure Data Lake Storage, enabling an enterprise data lake. Azure Blobs also include support for big data analytics through Data Lake Storage, letting organizations build an enterprise data lake on the object store.
Why A is wrong: Managed file shares over SMB and NFS describe Azure Files, not the big-data analytics capability of Blob storage.
Why B is correct: Correct. Azure Blobs also include support for big data analytics through Data Lake Storage, letting organizations build an enterprise data lake on the object store.
Why C is wrong: A schemaless key/attribute NoSQL store describes Azure Table storage, not Blob storage's analytics support.
Why D is wrong: Block-level virtual hard disk volumes describe Azure managed disks, which are not used to build a data lake.