Which Nutanix storage efficiency feature is suitable for nearly every workload?
Suggested Answer: C
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35 comments · newest first
IO
Iola
10 months ago
I'm surprised Thick Provisioning is even an option here!
DO
Dorethea
11 months ago
Compression works well too, but not for all workloads.
CH
Chan
11 months ago
Wait, isn't Deduplication also really effective for many workloads?
NO
Nobuko
11 months ago
I agree, Erasure Coding is super versatile!
GO
Goldie
11 months ago
I think it's definitely Erasure Coding.
KI
Kimbery
11 months ago
Thick Provisioning doesn't sound right for this question; I feel like it’s more about performance than efficiency.
FR
Frank
12 months ago
Compression seems like a good option for efficiency, but I can't recall if it's the best for every workload.
CA
Carole
12 months ago
I remember practicing a question about Deduplication being more specific to certain workloads, so that might not be it.
WI
Willard
1 year ago
I think it's Erasure Coding, but I'm not entirely sure if it applies to all workloads.
MA
Martin
1 year ago
I'm leaning towards Deduplication as the best answer here. It's a common and effective storage efficiency feature that can work well across many different types of data.
DI
Dick
1 year ago
Erasure Coding is an interesting choice, but I'm not sure if it's suitable for "nearly every workload" as the question states. I'll have to weigh the pros and cons of each option.
LU
Luis
1 year ago
Compression seems like a good option for this. It's a pretty universal storage efficiency technique that can benefit a wide range of workloads.
MI
Miesha
1 year ago
Hmm, I'm not too familiar with Nutanix storage features. I'll have to think this one through carefully. Maybe I should review my notes on Nutanix before answering.
ME
Mendy
1 year ago
I'm pretty sure the answer is Deduplication. That's a common storage efficiency feature that works well across most workloads.
AL
Aleisha
1 year ago
Compression is the way to go, no doubt about it. It's like a superpower for my data - it can do more with less!
AD
Adrianna
1 year ago
Thick Provisioning? That's like ordering a large pizza when you know you can only eat a slice. Not the best choice for storage efficiency.
SH
Shenika
1 year ago
C) Compression
GI
Gilma
1 year ago
B) Deduplication
HE
Herschel
1 year ago
C) Compression
LU
Lucina
1 year ago
C) Compression
SH
Shelba
1 year ago
B) Deduplication
SH
Sherman
1 year ago
A) Erasure Coding
LE
Lenny
1 year ago
A) Erasure Coding
ED
Edna
1 year ago
Erasure Coding sounds like something out of a sci-fi movie, but I hear it's actually pretty useful for storage efficiency.
AL
Alecia
1 year ago
Compression is another important feature to consider for storage efficiency.
MA
Marti
1 year ago
Deduplication is also a good option for reducing storage space.
EL
Elise
1 year ago
I agree, it's a great feature for storage efficiency.
HE
Hermila
1 year ago
I think Erasure Coding is the answer.
RE
Regenia
1 year ago
Deduplication is the clear winner here. It's like having a personal assistant that helps me keep my data organized and tidy.
BE
Belen
1 year ago
Compression is the way to go for my workloads. It's like a magic trick - making data disappear without a trace!
MA
Marjory
1 year ago
I prefer deduplication for my workloads, it really helps with reducing redundant data.
DE
Denae
1 year ago
I agree, compression is amazing for saving storage space.
CH
Chaya
2 years ago
I'm not sure, but I think C) Compression could also be a good option for storage efficiency.
GA
Galen
2 years ago
I agree with Mee, Deduplication is great for reducing storage space.
ME
Mee
2 years ago
I think the answer is B) Deduplication.