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Splunk Exam SPLK-2002 Topic 10 Question 84 Discussion

Actual exam question for Splunk's SPLK-2002 exam
Question #: 84
Topic #: 10
[All SPLK-2002 Questions]

Of the following types of files within an index bucket, which file type may consume the most disk?

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Suggested Answer: B

by Lashawnda at Apr 11, 2024, 12:03 PM

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Dianne
5 months ago
That's a good point, I didn't consider the size of the pointers in the Inverted index file.
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Valentin
5 months ago
I agree with the Inverted index file type can be large as it contains pointers to where the data is stored.
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Dianne
5 months ago
But Rawdata contains the actual data, so I still think it consumes more disk space.
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Tammara
6 months ago
I disagree, I believe it's the Inverted index (.tsidx) that consumes the most disk.
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Dianne
7 months ago
I think the file type that may consume the most disk is Rawdata.
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Alpha
7 months ago
You know, if this was a test on disk space consumption, I'd bring a forklift to the exam room. Just in case I need to move all the files around. *chuckles*
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Aaron
6 months ago
I think you're right. Inverted index files usually take up the most space.
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Pamela
6 months ago
D) Inverted index (.tsidx)
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Pamella
7 months ago
Ooh, good point! I'm torn between the Metadata and Inverted index options. I guess it really depends on the specifics of the use case and the data being indexed.
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Chantell
7 months ago
Ah, but don't forget about the Inverted index (.tsidx) file! That's where the actual indexing magic happens, and with large datasets, those files can get huge.
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Jolanda
7 months ago
You both make good points, but I'm leaning towards the Metadata (.data) file type. That's where all the additional information about the indexed data is stored, and that can really add up, especially for complex indices.
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Kiley
7 months ago
I'm not so sure about that. Bloom filters are known to be space-intensive, especially if you have a large index. I could see that being the biggest consumer of disk space.
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Mirta
8 months ago
Hmm, this is an interesting question. I think the Rawdata file type would consume the most disk space, as it contains the actual data being indexed, which can be quite large.
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