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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?

AReports run faster because normalized data models can be optimized for better performance.

BDashboards take longer to build.

CSearches can be built no matter the specific source technology for a normalized data type.

DForwarder-based inputs are more efficient.

Show Suggested Answer

Suggested Answer: A

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

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Clorinda

7 months ago

Wait, can we really say A is a benefit? I’m not so sure about that.

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Annamae

8 months ago

D makes sense, efficiency is key in data handling.

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Alva

8 months ago

C sounds interesting, but is it really that straightforward?

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Rory

8 months ago

I disagree, B is misleading. Dashboards can actually be quicker with normalization.

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Chantell

8 months ago

A is definitely true, normalized data speeds things up!

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Kenneth

9 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

9 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

9 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

9 months ago

I remember we discussed how normalization can improve performance, so I think A might be correct.

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Janna

9 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

9 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

9 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

9 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

2 years ago

D? Forwarder-based inputs? What is this, a trick question?

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Sang

2 years ago

D) Forwarder-based inputs are more efficient.

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Paris

2 years ago

C) Searches can be built no matter the specific source technology for a normalized data type.

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Tran

2 years ago

A) Reports run faster because normalized data models can be optimized for better performance.

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Tennie

2 years ago

A all the way! I love it when my reports run faster. Gotta go fast!

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Glory

2 years ago

B? Really? Dashboards take longer to build with normalized data? That's bananas!

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Bernadine

2 years ago

I think C is the right choice. Normalized data makes it easier to build universal searches.

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Nichelle

2 years ago

I see your point, but I still think C is the most important benefit.

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Jimmie

2 years ago

I think A is also a benefit because reports run faster with normalized data models.

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Micheline

2 years ago

I agree, C is definitely a benefit of data normalization.

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Alysa

2 years ago

But doesn't data normalization also help with building searches regardless of the source technology?

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Rosendo

2 years ago

I agree with Joni, normalized data models can be optimized for better performance.

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Joni

2 years ago

I think the benefit of data normalization is that reports run faster.

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Dulce

2 years ago

A is the correct answer. Normalizing data improves performance by reducing redundancy and data size.

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Dana

2 years ago

True, having flexibility in searches is definitely a benefit of normalization.

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Gerry

2 years ago

C) Searches can be built no matter the specific source technology for a normalized data type.

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Dannie

2 years ago

That makes sense, efficiency is key when it comes to data.

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Loreta

2 years ago

A) Reports run faster because normalized data models can be optimized for better performance.

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