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NetApp NS0-163 Exam - Topic 4 Question 27 Discussion

Actual exam question for NetApp's NS0-163 exam
Question #: 27
Topic #: 4
[All NS0-163 Questions]

Which ONTAP feature combines multiple writes into a single 4K block on the aggregate?

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Suggested Answer: B

by Salena at Jul 04, 2025, 01:41 PM

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Cletus
2 months ago
Nope, it's definitely not that.
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Sanda
2 months ago
Wait, isn't it Aggregate-level deduplication?
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Markus
3 months ago
Totally agree, that's the right one.
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Edgar
3 months ago
Really? I thought it was something else entirely!
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Edelmira
3 months ago
I think it's Data compaction!
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Theresia
3 months ago
I’m leaning towards aggregate-level deduplication, but I could be mixing it up with something else I studied.
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Destiny
4 months ago
Data compression sounds familiar, but I feel like it doesn't specifically mention combining writes into a single block.
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Wilford
4 months ago
I remember practicing a question about deduplication, but I can't recall if it was aggregate-level or volume-level.
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Glenn
4 months ago
I think this might be related to data compaction, but I'm not entirely sure if that's the right term for it.
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Shaun
4 months ago
I'm feeling confident about this one. Data compaction is the ONTAP feature that combines multiple writes into a single 4K block on the aggregate.
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Felicidad
4 months ago
Okay, let me think this through. Deduplication is about eliminating duplicate data, and compression is about reducing the size of data. Data compaction sounds like the right answer here, since it's about combining multiple writes.
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Glenna
5 months ago
Hmm, I'm a bit confused on this one. I know ONTAP has deduplication and compression, but I'm not sure which one specifically combines writes into a single block.
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Paul
5 months ago
I'm pretty sure this is about data compaction, since that's the ONTAP feature that combines multiple writes into a single 4K block.
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Audrie
6 months ago
This is easy, it's gotta be Data compaction. Sounds like the perfect way to optimize storage space. Hey, do you think they'll give us a free coffee mug if we get this right?
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Pamella
6 months ago
Wait, is this a trick question? I bet it's actually Aggregate-level deduplication. That's the one that works across volumes, right?
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Essie
5 months ago
No, actually it's Data compaction. It's the feature that reduces the amount of data stored by eliminating duplicate data within a volume.
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Talia
5 months ago
Yes, you're right! Aggregate-level deduplication is the feature that combines multiple writes into a single 4K block on the aggregate.
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Rosio
6 months ago
Data compression is the way to go. Shrinking the data size is the key to efficient storage, isn't it?
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Irving
7 months ago
Volume-level deduplication seems like the obvious choice here. Reducing duplicate data at the volume level is what I'd expect from an ONTAP feature.
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Carlota
6 months ago
B) Data compaction
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Gary
6 months ago
A) Aggregate-level deduplication
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Carmen
7 months ago
I think D) Data compression makes more sense as it reduces the size of the data by encoding it.
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Nan
7 months ago
I'm not sure, but I think C) Volume-level deduplication could also be a possibility.
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Bo
7 months ago
I disagree, I believe it's B) Data compaction because it combines multiple writes into a single 4K block.
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Ben
8 months ago
I think the answer is A) Aggregate-level deduplication.
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Albina
8 months ago
I think it's got to be Data compaction. Combining multiple writes into a single block sounds like that feature to me.
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Jannette
7 months ago
C) Volume-level deduplication
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Felicidad
7 months ago
B) Data compaction
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Franklyn
7 months ago
A) Aggregate-level deduplication
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