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What are three volume-level storage efficiency features…

What are three volume-level storage efficiency features of ONTAP? (Choose three.)

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A.
deswizzle

B.
space reclamation

C.
compaction

D.
compression

E.
deduplication

Explanation:
DE: NetApp deduplication is an integral part of the NetApp Data ONTAP operating environment and the WAFL
file system, which manages all data on NetApp storage systems.
NetApp data compression, introduced in Data ONTAP 8.0.1, is highly complementary to deduplication.
A: Data within a FlexVol has both a logical location within the volume and a physical location within the
containing aggregate. When reading data from a FlexVol, the physical location of that data must be known to
perform the read. Under normal circumstances, reads use a fast-path to translate a logical address into a
physical address. When SnapMirror transfers a FlexVol to a different aggregate, however, the relationship
between logical and physical addresses is changed. The destination aggregate lays out the volume into
different physical blocks. Immediately after the SnapMirror transfer, reads to the destination volume will use a
different process to translate logical addresses into physical addresses. This slow-path is less efficient and may
require an additional disk read to access a block of data. As soon as a FlexVol SnapMirror update finishes, the
destination storage controller will launch a scanner to recreate the fast-path metadata. Once the scan finishes,
reads to the SnapMirror destination will use the normal fast-path. This process is known as deswizzling.
http://community.netapp.com/t5/Tech-OnTap-Articles/Back-to-Basics-Deduplication/ta-p/84888
https://kb.netapp.com/support/s/article/ka21A0000000arxQAA/what-is-deswizzler-or-deswizzling?
language=en_US

4 Comments on “What are three volume-level storage efficiency features…

  1. Ganio says:

    Correct answers are C,D,E

    You can run deduplication, data compression, and data compaction together or independently on a FlexVol volume or an Infinite Volume to achieve optimal space savings. Deduplication eliminates duplicate data blocks and data compression compresses the data blocks to reduce the amount of physical storage that is required. Data compaction stores more data in less space to increase storage efficiency.

    http://docs.netapp.com/ontap-9/topic/com.netapp.doc.dot-cm-vsmg/GUID-9C88C1A6-990A-4826-83F8-0C8EAD6C3613.html




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