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Splunk Exam SPLK-4001 Topic 10 Question 39 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 39
Topic #: 10
[All SPLK-4001 Questions]

A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?

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Suggested Answer: C

The correct answer is C. Timeshift.

According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code:

timeshift(1w, counters(''server.utilization''))

This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.


by Antonio at Mar 06, 2025, 03:19 AM

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Deandrea
5 days ago
D) Standard deviation, all the way! Gotta find out which servers are really breaking the mold and going off the charts. Maybe they're secretly mining crypto on the side, who knows?
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Shasta
6 days ago
Whoa, hold up, is this a trick question? The answer's clearly C) Timeshift - we need to see how things have shifted over time, not just the current snapshot. Duh!
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Kathryn
7 days ago
I think D) Standard deviation could also be useful in this scenario.
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Carry
8 days ago
But Tlmeshift can help identify the servers with the most increased utilization.
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Audry
18 days ago
B) Sum transformation? Sounds like we're adding up server usage, but how's that gonna help us find the biggest changes? Weird choice.
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Marnie
2 hours ago
A) Rate would be more useful for identifying the servers with the most significant increase in utilization over time.
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Kristel
22 days ago
I disagree, I believe it's A) Rate.
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Carry
24 days ago
I think the answer is C) Tlmeshift.
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Jacqueline
25 days ago
Ah, A) Rate is the one that'll show us the growth, like a server on steroids! Gotta love that exponential curve.
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Tandra
1 days ago
Yeah, but D) Standard deviation could help us identify any outliers in server utilization that we need to look into.
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Shenika
7 days ago
I think C) Tlmeshift might also be useful to see how the servers have shifted in terms of utilization.
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Jesus
14 days ago
I agree, A) Rate will show us the servers that are really pumping up their utilization.
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Verlene
16 days ago
A) Rate is definitely the way to go. It'll give us that exponential growth curve we're looking for.
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Corinne
1 months ago
D) Standard deviation, baby! Gonna find out which servers are really going wild with their utilization.
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Kate
1 months ago
Hmm, I'd say C) Timeshift is the way to go. Gotta track those changes over time, am I right?
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Margot
13 days ago
Yeah, I agree. Timeshift is essential for identifying trends in server utilization.
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Genevive
21 days ago
I think C) Timeshift is a good choice. It helps track changes over time.
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