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Splunk SPLK-3001 Exam - Topic 5 Question 101 Discussion

Posted by Tawna on Sep 16, 2024 at 01:46 AM

Which of these Is a benefit of data normalization?

Suggested Answer: A

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31 comments · newest first
CL
Clorinda 10 months ago
Wait, can we really say A is a benefit? I’m not so sure about that.
AN
Annamae 11 months ago
D makes sense, efficiency is key in data handling.
AL
Alva 11 months ago
C sounds interesting, but is it really that straightforward?
RO
Rory 11 months ago
I disagree, B is misleading. Dashboards can actually be quicker with normalization.
CH
Chantell 11 months ago
A is definitely true, normalized data speeds things up!
KE
Kenneth 12 months ago
I feel confused about this one; I thought normalization was supposed to help with data integrity rather than just speed.
CA
Cassi 12 months ago
I practiced a similar question, and I think the focus was on efficiency, which might relate to A or D.
TA
Tammy 12 months ago
I'm not entirely sure, but I feel like C could also be a benefit since it mentions searches being more flexible.
FA
Fannie 1 year ago
I remember we discussed how normalization can improve performance, so I think A might be correct.
JA
Janna 1 year ago
I'm leaning towards A. Optimizing the data model for performance is a key advantage of normalization. The other options don't seem as directly relevant.
FE
Felicia 1 year ago
Option C seems promising - normalized data should make it easier to build searches that work across different data sources. That could be a big benefit.
ME
Meaghan 1 year ago
Hmm, I'm a bit confused on this one. I know normalization is supposed to help with data quality, but I'm not sure how it impacts report performance. I'll have to think this through.
VI
Viola 1 year ago
I'm pretty sure the answer is A. Normalized data models are designed to be more efficient, so reports should run faster.
MA
Marti 2 years ago
D? Forwarder-based inputs? What is this, a trick question?
SA
Sang 2 years ago
↳ replying to Marti
D) Forwarder-based inputs are more efficient.
PA
Paris 2 years ago
↳ replying to Marti
C) Searches can be built no matter the specific source technology for a normalized data type.
TR
Tran 2 years ago
↳ replying to Marti
A) Reports run faster because normalized data models can be optimized for better performance.
TE
Tennie 2 years ago
A all the way! I love it when my reports run faster. Gotta go fast!
GL
Glory 2 years ago
B? Really? Dashboards take longer to build with normalized data? That's bananas!
BE
Bernadine 2 years ago
I think C is the right choice. Normalized data makes it easier to build universal searches.
NI
Nichelle 2 years ago
↳ replying to Bernadine
I see your point, but I still think C is the most important benefit.
JI
Jimmie 2 years ago
↳ replying to Bernadine
I think A is also a benefit because reports run faster with normalized data models.
MI
Micheline 2 years ago
↳ replying to Bernadine
I agree, C is definitely a benefit of data normalization.
AL
Alysa 2 years ago
But doesn't data normalization also help with building searches regardless of the source technology?
RO
Rosendo 2 years ago
I agree with Joni, normalized data models can be optimized for better performance.
JO
Joni 2 years ago
I think the benefit of data normalization is that reports run faster.
DU
Dulce 2 years ago
A is the correct answer. Normalizing data improves performance by reducing redundancy and data size.
DA
Dana 2 years ago
↳ replying to Dulce
True, having flexibility in searches is definitely a benefit of normalization.
GE
Gerry 2 years ago
↳ replying to Dulce
C) Searches can be built no matter the specific source technology for a normalized data type.
DA
Dannie 2 years ago
↳ replying to Dulce
That makes sense, efficiency is key when it comes to data.
LO
Loreta 2 years ago
↳ replying to Dulce
A) Reports run faster because normalized data models can be optimized for better performance.
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