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Splunk Exam SPLK-5002 Topic 1 Question 6 Discussion

Actual exam question for Splunk's SPLK-5002 exam
Question #: 6
Topic #: 1
[All SPLK-5002 Questions]

What Splunk process ensures that duplicate data is not indexed?

Show Suggested Answer Hide Answer
Suggested Answer: D

Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.

How Event Parsing Prevents Duplicate Data:

Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.

CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.

Index-time filtering and transformation rules help detect and drop repeated data before indexing.

Incorrect Answers: A. Data deduplication -- While deduplication removes duplicates in searches, it does not prevent duplicate indexing. B. Metadata tagging -- Tags help with categorization but do not control duplication. C. Indexer clustering -- Clustering improves redundancy and availability but does not prevent duplicates.


Splunk Data Parsing Process

Splunk Indexing and Data Handling

Contribute your Thoughts:

Mattie
2 months ago
This is a classic case of 'The cake is a lie!' - the real answer is probably none of the above, and it's some secret Splunk magic we mere mortals aren't privy to.
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Erinn
15 days ago
D) Event parsing
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Georgeanna
16 days ago
C) Indexer clustering
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Jade
18 days ago
A) Data deduplication
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Denae
2 months ago
Hmm, this one's tricky. I'm leaning towards D) Event parsing, as Splunk's parsing process might be able to detect and remove duplicate events.
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Erin
2 days ago
Maybe it's a combination of multiple processes like A) Data deduplication and D) Event parsing to prevent duplicate data from being indexed.
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Thurman
3 days ago
I agree with you, D) Event parsing sounds like it could be the right process to handle duplicate data.
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Velda
4 days ago
I'm not sure, but C) Indexer clustering could also help in ensuring duplicate data is not indexed.
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Kami
5 days ago
I think A) Data deduplication might be the process to prevent duplicate data from being indexed.
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Hannah
11 days ago
Maybe it's a combination of A) Data deduplication and D) Event parsing.
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Deandrea
12 days ago
I agree with you, I think D) Event parsing makes sense.
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Laurel
25 days ago
I'm not sure, but I think it could also be C) Indexer clustering.
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Edgar
27 days ago
I think it might be A) Data deduplication.
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Alecia
2 months ago
I believe the correct answer is A) Data deduplication because it eliminates redundant data before indexing.
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Rolland
2 months ago
I'm not sure, but I think C) Indexer clustering could also help in ensuring duplicate data is not indexed.
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Chau
2 months ago
I agree with Gayla, data deduplication makes sense to prevent duplicate data from being indexed.
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Gayla
2 months ago
I think the answer is A) Data deduplication.
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Colette
2 months ago
I'm pretty sure it's C) Indexer clustering. Splunk uses a distributed indexing architecture to handle large volumes of data and avoid duplication.
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Aileen
3 months ago
I think it's definitely A) Data deduplication. Splunk has a built-in feature to identify and remove duplicate data before indexing.
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My
1 months ago
Data deduplication is a crucial process to prevent unnecessary duplication of data in Splunk.
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Nieves
1 months ago
Yes, data deduplication is essential for maintaining data integrity in Splunk.
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Mozell
2 months ago
I agree, it's A) Data deduplication. It helps in ensuring that duplicate data is not indexed.
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