NS0194 NetApp Certified Support Engineer Free Practice Test — 30 Questions

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Question 1 of 30

During an investigation into inconsistent data reduction efficiency reports between two NetApp ONTAP volumes, Volume A and Volume B, a support engineer observes that Volume A, configured with deduplication and compression, reports a 3.5:1 overall reduction ratio. Volume B, configured only with compression, reports a 2.8:1 reduction ratio. Both volumes contain similar types of data, primarily user documents and application files. What fundamental principle of ONTAP\'s data reduction architecture best explains this observed difference, assuming both volumes started with the same raw data footprint before any reduction was applied?

The sequential application of deduplication before compression allows compression to operate on already reduced, more uniform data blocks, thereby enhancing overall efficiency.
The order of operations for data reduction is configurable, and Volume B's configuration, while simpler, inherently limits the potential for synergistic savings by omitting a prior deduplication step.
Deduplication and compression algorithms are inversely proportional in their effectiveness; enabling one diminishes the potential gains of the other, leading to the observed disparity.
ONTAP's reporting mechanism for data reduction prioritizes compression savings when both features are enabled, creating an artificial inflation of the overall ratio for Volume A.

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