Which of the following statements is correct regarding bloom filters?
A.
Hot buckets have no bloom filters as their contents are always changing.
B.
Bloom filters could return false positives or false negatives.
C.
Each bucket uses a unique hashing algorithm to create its bloom filter.
D.
The bloom filter contains trinary values: 0, 1, and 2.
The Answer Is:
A
This question includes an explanation.
Explanation:
Comprehensive and Detailed Step by Step Explanation:
The correct statement about bloom filters in Splunk is:
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1
Hot buckets have no bloom filters as their contents are always changing.
Here’s why this is correct:
Bloom Filters: Bloom filters are data structures used by Splunk to quickly determine whether a specific value exists in a bucket. They are designed for cold and warm buckets where the data is static.
Hot Buckets: Hot buckets contain actively ingested data, which is constantly changing. Since bloom filters are precomputed and immutable, they cannot be applied to hot buckets.
Other options explained:
Option B: Incorrect because bloom filters can only return false positives (indicating a value might exist when it doesn’t), but they never return false negatives.
Option C: Incorrect because all buckets use the same hashing algorithm to create bloom filters.
Option D: Incorrect because bloom filters only contain binary values (0 or 1), not trinary values.
[References:, Splunk Documentation on Bloom Filters:https://docs.splunk.com/Documentation/Splunk/latest/Indexer/Bloomfilters, Splunk Documentation on Buckets:https://docs.splunk.com/Documentation/Splunk/latest/Indexer/HowSplunkstoresindexes, , ]
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