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Splunk SPLK-4001 Exam - Topic 2 Question 24 Discussion

A DevOps engineer wants to determine if the latency their application experiences is growing fester after a new software release a week ago. They have already created two plot lines, A and B, that represent the current latency and the latency a week ago, respectively. How can the engineer use these two plot lines to determine the rate of change in latency?
A) Create a temporary plot by dragging items A and B into the Analytics Explorer window.
B) Create a plot C using the formula (A-B) and add a scale:percent function to express the rate of change as a percentage.
C) Create a plot C using the formula (A/B-l) and add a scale: 100 function to express the rate of change as a percentage.
D) Create a temporary plot by clicking the Change% button in the upper-right corner of the plot showing lines A and B.

Splunk SPLK-4001 Exam - Topic 2 Question 24 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 24
Topic #: 2
[All SPLK-4001 Questions]

A DevOps engineer wants to determine if the latency their application experiences is growing fester after a new software release a week ago. They have already created two plot lines, A and B, that represent the current latency and the latency a week ago, respectively. How can the engineer use these two plot lines to determine the rate of change in latency?

Show Suggested Answer Hide Answer
Suggested Answer: A

The correct answer is A. 64.

According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA1

Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS. The limit on the number of dimensions per MTS is 362

To learn more about how to use properties and dimensions in Splunk Observability Cloud, you can refer to this documentation2.

1: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html#Custom-properties 2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html


by Valda at Jul 18, 2024, 05:48 AM

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Serita
6 months ago
Surprised there's no mention of time factor in these options!
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Adela
6 months ago
I think D is too simplistic for this analysis.
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Moon
7 months ago
Wait, isn't (A/B-1) also a valid way to express change?
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Jolene
7 months ago
I agree, using (A-B) gives a clear percentage change!
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Nettie
7 months ago
Plot B seems like the best option for calculating the rate of change.
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Oretha
7 months ago
I’m leaning towards option D since it mentions a Change% button, but I’m not entirely confident if that’s the right approach for calculating the rate of change.
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Sylvia
8 months ago
I feel like I saw a question similar to this where we had to create a new plot to visualize the changes, but I can't recall the exact steps.
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Margart
8 months ago
I think option B sounds familiar because it mentions using a formula to express the change as a percentage, which we practiced in class.
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Mammie
8 months ago
I remember we discussed how to calculate the rate of change using plots, but I'm not sure if it's just A minus B or if we need to divide by B too.
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Buddy
8 months ago
I'm not sure about this one. The question seems a bit vague to me. I'm leaning towards option D, where we just click the Change% button on the existing plots A and B. But I'm open to other suggestions if anyone has a better idea.
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Darnell
8 months ago
Okay, I think I've got this. Option C looks like the best approach - create a plot C using the formula (A/B-1) and then scale it to 100 to get the rate of change as a percentage. That should give us the information we need.
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Avery
8 months ago
I'm a bit confused by this question. Do we really need to create a new plot C? Can't we just use the existing plots A and B to calculate the rate of change somehow?
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Stevie
8 months ago
Hmm, this seems straightforward. I think option B is the way to go - creating a new plot C using the formula (A-B) and then adding a scale:percent function to show the rate of change as a percentage.
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Lashawnda
8 months ago
Hmm, this is a tricky one. I'll need to think carefully about the different options and what each of them represents.
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Sanda
1 year ago
Hmm, I'm torn between B and C. Maybe I'll just flip a coin and hope for the best. Or maybe I'll just go with the one that sounds the most complicated - that usually works out well, right?
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Peggie
11 months ago
Yeah, I would go with option B as well. It's important to make sure you're accurately calculating the rate of change in latency.
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Lai
11 months ago
I agree, option B is probably the best choice. It's always better to keep things simple when analyzing data.
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Toshia
11 months ago
I think you should go with option B. It seems like the most straightforward way to calculate the rate of change.
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Emelda
1 year ago
Ha, I can't help but chuckle at the idea of just clicking a 'Change%' button. That's the kind of magical thinking I wish would work in real life. But alas, option D is clearly not the way to go here.
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Arlie
1 year ago
Ooh, I like the sound of option C! Dividing A by B and then subtracting 1 to get the rate of change as a percentage. That's a bit more sophisticated, but I bet it gives you a clearer picture of what's going on.
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Nieves
12 months ago
User 3: I agree, option C seems like a more accurate way to determine the rate of change in latency after a new software release.
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Jacquelyne
12 months ago
User 2: Yeah, it does sound more sophisticated. I think it would give a clearer picture of how the latency is changing over time.
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Dalene
1 year ago
User 1: Option C sounds interesting. Dividing A by B and then subtracting 1 seems like a good way to calculate the rate of change.
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Ollie
1 year ago
Hmm, this looks like a tricky one. I'm thinking option B is the way to go - creating a new plot C using the formula (A-B) and expressing the rate of change as a percentage. Seems like the most straightforward approach.
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Nieves
1 year ago
Yeah, option B sounds like the right method to determine the rate of change in latency. It's a straightforward calculation using the formula (A-B) and expressing it as a percentage.
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Cecil
1 year ago
I think option B is the best approach as well. It provides a clear way to analyze the difference in latency between the two plot lines.
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Gabriele
1 year ago
I agree, option B seems like the most logical choice. It's a simple way to calculate the rate of change in latency.
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Alayna
1 year ago
Interesting point, Jaime. I can see how that approach might provide a different perspective on the rate of change in latency. It's definitely worth considering.
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Jaime
1 year ago
I disagree, I believe option C is better. Dividing the latencies and then subtracting 1 to express the change as a percentage seems more accurate to me.
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Alayna
1 year ago
I think option B is the way to go. Subtracting the latency from a week ago from the current latency and expressing it as a percentage makes sense.
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