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Splunk SPLK-4001 Exam Sample Questions

Question # 1

Which of the following are accurate reasons to clone a detector? (select all that apply)

A. To modify the rules without affecting the existing detector.

B. To reduce the amount of billed TAPM for the detector.

C. To add an additional recipient to the detector's alerts.

D. To explore how a detector was created without risk of changing it.

Answer

A. To modify the rules without affecting the existing detector.
D. To explore how a detector was created without risk of changing it.

Explanation: The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector. B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector.
TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector’s alerts.
Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector’s alerts, you need to edit the alert settings of the detector.

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Question # 2

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

A. Line, Bar, Column

B. Bar, Area, Column

C. Line, Area, Column

D. Histogram, Line, Column

Answer

C. Line, Area, Column

Explanation: 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.

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Question # 3

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.

Answer

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.

Explanation: The correct answer is 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.
To calculate the rate of change in latency, you need to compare the current latency (plot A) with the latency a week ago (plot B). One way to do this is to use the formula (A/B-l), which gives you the ratio of the current latency to the previous latency minus one. This ratio represents how much the current latency has increased or decreased relative to the previous latency. For example, if the current latency is 200 ms and the previous latency is 100 ms, then the ratio is (200/100-l) = 1, which means the current latency is 100% higher than the previous latency1.
To express the rate of change as a percentage, you need to multiply the ratio by 100. You can do this by adding a scale: 100 function to the formula. This function scales the values of the plot by a factor of 100. For example, if the ratio is 1, then the scaled value is 100%2 To create a plot C using the formula (A/B-l) and add a scale: 100 function, you need to follow these steps:

• Select plot A and plot B from the Metric Finder.
• Click on Add Analytics and choose Formula from the list of functions.
• In the Formula window, enter (A/B-l) as the formula and click Apply.
• Click on Add Analytics again and choose Scale from the list of functions.
• In the Scale window, enter 100 as the factor and click Apply.
• You should see a new plot C that shows the rate of change in latency as a percentage.

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Question # 4

Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

A. /opt/splunk/

B. /etc/otel/collector/

C. /etc/opentelemetry/

D. /etc/system/default/

Answer

B. /etc/otel/collector/

Explanation:

The correct answer is B. /etc/otel/collector/

According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.

To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.

1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2: https://docs.splunk.com/Observability/gdi/opentelemetry.html

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Question # 5

Which of the following chart visualization types are unaffected by changing the time picker on a dashboard? (select all that apply)

A. Single Value

B. Heatmap

C. Line

D. List

Answer

A. Single Value
D. List

Explanation: The chart visualization types that are unaffected by changing the time picker on a dashboard are:
Single Value: A single value chart shows the current value of a metric or an expression. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart1.
List: A list chart shows the values of a metric or an expression for each dimension value in a table format. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart2.
Therefore, the correct answer is A and D.

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