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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?

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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:

Chau
3 hours ago
I agree with Gayla, data deduplication makes sense to prevent duplicate data from being indexed.
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Gayla
1 days ago
I think the answer is A) Data deduplication.
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Colette
10 days 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
12 days 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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