Q: 9
Prefix wildcards might cause performance issues.
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Discussion
Guessing True. Prefix wildcards like *error make Splunk scan a lot more data and slow searches down.
True, Had something like this in a mock exam before-prefix wildcards (like
*error) definitely slow down Splunk searches because the index isn’t optimized for left-side wildcards. Pretty sure about this, but open to corrections.True . Prefix wildcards like
*error force Splunk to scan more data because it can't leverage indexing. Pretty common topic in practice questions, so I'd stick with True unless someone has a different example.True. When you use a prefix wildcard (like
*error), Splunk can't leverage the index as efficiently, so it ends up doing way more scanning across all terms. That's why search times spike in large datasets. I think suffix wildcards are handled better, but for prefixes, definitely a performance impact. Anyone disagree?Guessing True, prefix wildcards force Splunk to scan more data and slow things down. Seen similar warnings in docs. Agree?
Looks like True. Prefix wildcards do slow down Splunk searches a lot since they can't use the index efficiently.
My vote is True. Prefix wildcards (like *error) make Splunk scan way more data since it can't use the index efficiently. That's why search speed drops. Not 100% but I've seen this mentioned in official guides too.
True imo, prefix wildcards are the classic Splunk performance trap (suffix wildcards not as bad).
True Seen this in the official guide and practice tests both.
Anyone using the official Splunk docs or practice labs seen this topic? I remember prefix wildcards (*error) impacting search speed, but not totally sure if it's always a big deal in every scenario.
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