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Splunk Exam SPLK-4001 Topic 2 Question 16 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 16
Topic #: 2
[All SPLK-4001 Questions]

Changes to which type of metadata result in a new metric time series?

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Suggested Answer: D

According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder1.Chart Builder is a tool that allows you to create and customize charts using metrics, dimensions, and analytics functions2. To save the chart created in the UI, you need to do the following steps:

Click the Save button on the top right corner of the Chart Builder. This will open a dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.

Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the chart.

Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon.A dashboard is a collection of charts that display metrics and events for your services or hosts3.You can organize and share dashboards with other users in your organization using dashboard groups3.

Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view. You can also access your saved chart from the Dashboards menu on the left navigation bar.


Contribute your Thoughts:

Julio
4 hours ago
I'm pretty sure it's properties that create a new metric time series. Just gotta remember that one.
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Fatima
19 days ago
Changes to dimensions definitely result in a new metric time series. That's basic stuff, right?
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Elza
2 days ago
Yes, changes to dimensions always create a new metric time series.
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Candra
21 days ago
Actually, I think you're right. Properties do affect the metric time series.
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Jennie
22 days ago
I disagree, I believe it's changes to Properties that result in a new metric time series.
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Candra
1 months ago
I think changes to Dimensions result in a new metric time series.
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