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In Splunk's bucket naming convention for warm/cold/thawed buckets, what distinguishes a replicated bucket from an originating bucket?

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Final answer:

Originate buckets store primary data while replicated buckets are copies used for redundancy and fault tolerance.

Step-by-step explanation:

In Splunk's bucket naming convention, there are two types of buckets - originating buckets and replicated buckets. The key difference between them lies in their purpose and how they are created.

An originating bucket is the primary bucket that stores the data ingested by Splunk. It is created by the indexer when data is first indexed and remains on the indexer where it was initially written.

A replicated bucket, on the other hand, is a copy of an originating bucket. It is created to achieve data redundancy and fault tolerance by replicating the data across multiple indexers in a distributed environment. Replicated buckets are used to ensure data availability in case of indexer failures or network issues.

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