Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Splunk Exam SPLK-4001 Topic 6 Question 15 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 15
Topic #: 6
[All SPLK-4001 Questions]

For which types of charts can individual plot visualization be set?

Show Suggested Answer Hide Answer
Suggested Answer: C

The correct answer is C. Line, Area, Column.

For line, area, and column charts, you can set the individual plot visualization to change the appearance of each plot in the chart. For example, you can change the color, shape, size, or style of the lines, areas, or columns. You can also change the rollup function, data resolution, or y-axis scale for each plot1

To set the individual plot visualization for line, area, and column charts, you need to select the chart from the Metric Finder, then click on Plot Chart Options and choose Individual Plot Visualization from the list of options. You can then customize each plot according to your preferences2

To learn more about how to use individual plot visualization in Splunk Observability Cloud, you can refer to this documentation2.

1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Individual-plot-visualization 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Set-individual-plot-visualization


by Bernardine at Apr 12, 2024, 12:25 AM

Limited Time Offer

25%

Off

Get Premium SPLK-4001 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Bambi
10 months ago
I think I'll go with B) Bar, Area, Column after all.
upvoted 0 times
...
Abel
11 months ago
I agree with User1, A) Line, Bar, Column seems more logical.
upvoted 0 times
...
Krissy
11 months ago
I'm pretty sure it's D) Histogram, Line, Column.
upvoted 0 times
...
Moon
11 months ago
I'm leaning towards B) Bar, Area, Column.
upvoted 0 times
...
Mariann
11 months ago
I disagree, I believe it is C) Line, Area, Column.
upvoted 0 times
...
Starr
11 months ago
I think the answer is A) Line, Bar, Column.
upvoted 0 times
...
Jolanda
1 years ago
I'm with Stephaine on this one. C) Line, Area, Column seems like the most logical choice here. Although, I have to say, I'm a bit surprised they didn't include something like 'Scatter' or 'Bubble' as an option. That would have been too easy, I suppose.
upvoted 0 times
...
Stephaine
1 years ago
Okay, let's think this through. Individual plot visualization implies the ability to customize each data point, right? So it makes sense that line, area, and column charts would support that, since they deal with individual data points. I'm going with C.
upvoted 0 times
Claribel
11 months ago
I agree with C) Line, Area, Column.
upvoted 0 times
...
Nelida
11 months ago
I'm going with B) Bar, Area, Column.
upvoted 0 times
...
Tonette
11 months ago
No, I believe it's C) Line, Area, Column.
upvoted 0 times
...
Lemuel
11 months ago
I think it's A) Line, Bar, Column.
upvoted 0 times
...
...
Rhea
1 years ago
You know, I was leaning towards A) Line, Bar, Column, but now I'm reconsidering. Individual plot visualization does sound more like something you'd see in scatter plots or bubble charts. This is a tricky one.
upvoted 0 times
...
Pete
1 years ago
Yeah, I agree with Jose. The key is being able to independently format or highlight specific data points, not just the chart as a whole. Line, area, and column charts would allow for that type of customization.
upvoted 0 times
...
Jose
1 years ago
Hmm, I think it has to do with the ability to customize the appearance of individual data points, rather than just the overall chart type. In that case, I'd guess C) Line, Area, Column would be the best answer.
upvoted 0 times
...
Charlene
1 years ago
This is a tricky one. Individual plot visualization is usually associated with more complex chart types like scatter plots or bubble charts. I'm not sure if it applies to the standard chart types given here.
upvoted 0 times
...

Save Cancel