NS0-158 · Question #26
What are three volume-level storage efficiency features of ONTAP? (Choose three.)
The correct answer is C. compaction D. compression E. deduplication. NetApp ONTAP provides robust storage efficiency features to reduce the physical storage footprint required for data at the volume level. These include data compaction, compression, and deduplication.
Question
What are three volume-level storage efficiency features of ONTAP? (Choose three.)
Options
- Adeswizzle
- Bspace reclamation
- Ccompaction
- Dcompression
- Ededuplication
How the community answered
(64 responses)- A6% (4)
- B2% (1)
- C92% (59)
Why each option
NetApp ONTAP provides robust storage efficiency features to reduce the physical storage footprint required for data at the volume level. These include data compaction, compression, and deduplication.
'deswizzle' is not a recognized NetApp ONTAP storage efficiency feature.
Space reclamation (e.g., UNMAP) is a feature for freeing up unused blocks, primarily related to thin provisioning and block discard, rather than a direct data reduction efficiency feature like compression or deduplication.
Data compaction, specifically inline data compaction in ONTAP, optimizes storage by packing multiple small data blocks into a single 4KB physical block on disk, reducing the overall storage footprint required for small I/O workloads at the volume level.
Data compression reduces the physical size of data stored on a volume by encoding it in a more efficient format. ONTAP supports both inline and post-process compression, directly contributing to storage efficiency by requiring less physical capacity.
Data deduplication identifies and eliminates redundant blocks of data within a volume, storing only one unique instance of each block and replacing duplicates with pointers. This significantly reduces the physical storage consumed by identical data.
Concept tested: NetApp ONTAP volume-level storage efficiency features
Source: https://docs.netapp.com/us-en/ontap/volume-admin/concept_storage_efficiency.html
Topics
Community Discussion
No community discussion yet for this question.