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Splunk Exam SPLK-5001 Topic 4 Question 18 Discussion

Actual exam question for Splunk's SPLK-5001 exam
Question #: 18
Topic #: 4
[All SPLK-5001 Questions]

After discovering some events that were missed in an initial investigation, an analyst determines this is because some events have an empty src field. Instead, the required data is often captured in another field called machine_name.

What SPL could they use to find all relevant events across either field until the field extraction is fixed?

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Suggested Answer: A

Contribute your Thoughts:

I'm not sure about that. I think option D) | eval src = tostring(machine_name) could also work, converting machine_name to a string.
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Lucina
17 days ago
Option A looks good, but I'm not sure if it's the most efficient approach. Wouldn't it be better to just use the machine_name field directly instead of trying to combine it with the src field?
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Yan
20 days ago
I think option A is the way to go. Coalescing the src and machine_name fields is a smart way to handle the missing data issue. It ensures we capture all the relevant events without any gaps.
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Paris
22 hours ago
User 1: I think option A is the way to go.
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Malissa
7 days ago
User 2: Yeah, coalescing the src and machine_name fields is a good workaround until the field extraction is fixed.
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Arlette
16 days ago
User 1: I agree, option A seems like the best choice here.
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Lettie
22 days ago
I agree with Elliot. Using coalesce function seems like the best option to capture data from both fields.
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Elliot
25 days ago
I think the answer is A) | eval src = coalesce(src,machine_name). It combines the values of src and machine_name.
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