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Splunk SPLK-3001 Exam - Topic 5 Question 101 Discussion

Actual exam question for Splunk's SPLK-3001 exam
Question #: 101
Topic #: 5
[All SPLK-3001 Questions]

Which of these Is a benefit of data normalization?

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Suggested Answer: A

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

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Clorinda
3 months ago
Wait, can we really say A is a benefit? I’m not so sure about that.
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Annamae
3 months ago
D makes sense, efficiency is key in data handling.
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Alva
3 months ago
C sounds interesting, but is it really that straightforward?
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Rory
4 months ago
I disagree, B is misleading. Dashboards can actually be quicker with normalization.
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Chantell
4 months ago
A is definitely true, normalized data speeds things up!
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Kenneth
4 months ago
I feel confused about this one; I thought normalization was supposed to help with data integrity rather than just speed.
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Cassi
4 months ago
I practiced a similar question, and I think the focus was on efficiency, which might relate to A or D.
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Tammy
4 months ago
I'm not entirely sure, but I feel like C could also be a benefit since it mentions searches being more flexible.
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Fannie
5 months ago
I remember we discussed how normalization can improve performance, so I think A might be correct.
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Janna
5 months 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.
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Felicia
5 months 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.
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Meaghan
5 months 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.
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Viola
5 months ago
I'm pretty sure the answer is A. Normalized data models are designed to be more efficient, so reports should run faster.
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Marti
1 year ago
D? Forwarder-based inputs? What is this, a trick question?
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Sang
1 year ago
D) Forwarder-based inputs are more efficient.
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Paris
1 year ago
C) Searches can be built no matter the specific source technology for a normalized data type.
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Tran
1 year ago
A) Reports run faster because normalized data models can be optimized for better performance.
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Tennie
1 year ago
A all the way! I love it when my reports run faster. Gotta go fast!
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Glory
1 year ago
B? Really? Dashboards take longer to build with normalized data? That's bananas!
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Bernadine
1 year ago
I think C is the right choice. Normalized data makes it easier to build universal searches.
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Nichelle
1 year ago
I see your point, but I still think C is the most important benefit.
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Jimmie
1 year ago
I think A is also a benefit because reports run faster with normalized data models.
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Micheline
1 year ago
I agree, C is definitely a benefit of data normalization.
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Alysa
1 year ago
But doesn't data normalization also help with building searches regardless of the source technology?
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Rosendo
1 year ago
I agree with Joni, normalized data models can be optimized for better performance.
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Joni
1 year ago
I think the benefit of data normalization is that reports run faster.
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Dulce
1 year ago
A is the correct answer. Normalizing data improves performance by reducing redundancy and data size.
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Dana
1 year ago
True, having flexibility in searches is definitely a benefit of normalization.
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Gerry
1 year ago
C) Searches can be built no matter the specific source technology for a normalized data type.
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Dannie
1 year ago
That makes sense, efficiency is key when it comes to data.
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Loreta
1 year ago
A) Reports run faster because normalized data models can be optimized for better performance.
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