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Splunk Exam SPLK-4001 Topic 3 Question 13 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 13
Topic #: 3
[All SPLK-4001 Questions]

Which analytic function can be used to discover peak page visits for a site over the last day?

Show Suggested Answer Hide Answer
Suggested Answer: A, C

The possible ways to add a link to an existing dashboard from an alert are:

Build a global data link. A global data link is a feature that allows you to create a link from any dimension value in any chart or table to a dashboard of your choice. You can specify the source and target dashboards, the dimension name and value, and the query parameters to pass along. When you click on the dimension value in the alert message, you will be taken to the dashboard with the context preserved1

Add a link to the field. A field link is a feature that allows you to create a link from any field value in any search result or alert message to a dashboard of your choice. You can specify the field name and value, the dashboard name and ID, and the query parameters to pass along. When you click on the field value in the alert message, you will be taken to the dashboard with the context preserved2

Therefore, the correct answer is A and C.

To learn more about how to use global data links and field links in Splunk Observability Cloud, you can refer to these documentations12.

1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Global-data-links 2: https://docs.splunk.com/Observability/gdi/metrics/search.html#Field-links


by Fatima at Mar 07, 2024, 10:42 AM

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Leslie
29 days ago
I bet the maximum function is the way to go. That's the only way I can explain my peak chocolate consumption last night.
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Domonique
1 months ago
Wait, are we measuring peak visits or peak memes posted? Asking for a friend.
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Cristina
1 months ago
Maximum transformation, huh? Sounds like the right tool for the job. Let's see what the documentation says about that one.
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Lorrine
2 days ago
Let's check the documentation to make sure we're using it correctly.
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Larae
4 days ago
Yeah, that function should help us find the peak page visits.
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Roosevelt
8 days ago
I think Maximum: Transformation (24h) is the way to go.
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Cassandra
1 months ago
Count? Really? That's not going to give me the peak visits, just the total number of visits. Not what I need for this question.
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Alishia
13 days ago
C) Lag: (24h)
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Dulce
16 days ago
A) Maximum: Transformation (24h)
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Sylvie
2 months ago
Hmm, the lag function could work too, but I'm not sure if that's the best approach for this use case. Gotta think this through.
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Portia
12 days ago
Maybe we should consider both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
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Trinidad
13 days ago
Maybe we should consider using both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
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Ben
14 days ago
I agree, Maximum: Aggregation (Id) would give us a clearer picture of peak page visits.
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Arlette
18 days ago
I think Maximum: Transformation (24h) would be the best option for this.
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Brinda
29 days ago
I agree, Maximum: Aggregation (Id) would give us a clear picture of peak page visits.
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Eun
1 months ago
I think Maximum: Transformation (24h) would be the best option for this.
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Tamar
2 months ago
I'm pretty sure the maximum aggregation function is the way to go here. It should give me the peak page visits over the last day.
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Dominga
1 months ago
Yeah, I agree. It makes sense to use the Maximum function for this kind of analysis.
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Justa
1 months ago
I think you're right, the Maximum: Aggregation (Id) function should give us the peak page visits over the last day.
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Rosenda
2 months ago
Hmm, that's a good point. But I still think A) Maximum: Transformation (24h) would give a more accurate peak page visits analysis.
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Eun
2 months ago
I disagree, I believe the answer is B) Maximum: Aggregation (Id). It would aggregate the data based on the page visits.
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Rosenda
2 months ago
I think the answer is A) Maximum: Transformation (24h). It makes sense to find the peak page visits over the last day.
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