Learning Splunk - Advanced Searching Concepts – Timechart – Results Over Time

Learning Splunk - Advanced Searching Concepts – Timechart – Results Over Time

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies, Geography, Science, Performing Arts

University

Hard

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Quizizz Content

FREE Resource

The video tutorial explains how to use the time chart command in Splunk to create time series charts or statistics tables. It highlights the differences between the chart and time chart commands, emphasizing the automatic time-based splitting feature of the time chart. An example is provided, demonstrating how to chart data over time, specifically focusing on accessing destination ports and visualizing the data using a line chart. The tutorial concludes with a preview of the next video, which will cover Geo stats and IP mapping in Splunk.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of the time chart command in Splunk?

To manage user access permissions

To perform data encryption

To generate time series charts or statistics tables

To create pie charts for data visualization

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the chart command differ from the time chart command?

The chart command is less flexible than the time chart command

The time chart command is used for data encryption

The chart command allows for column splits, unlike the time chart command

The chart command is used for creating pie charts only

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the practical example, which ports were analyzed using the time chart command?

Ports related to database management

Ports related to web hosting

Ports related to Splunk and the OS

Ports related to email services

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of chart was found to be most effective for visualizing the data in the example?

Pie chart

Bar chart

Scatter plot

Line chart

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What kind of data is ideal for analysis using time charts?

Data that is encrypted

Data related to user permissions

Data with fluctuating values like CPU or memory load

Data that remains constant over time