How can the data be viewed better on the same graph?

A user is displaying the CPU utilization, and Network in and Network out CloudWatch metrics data of a single
instance on the same graph. The graph uses one Y-axis for CPU utilization and Network in and another Y-axis
for Network out. Since Network in is too high, the CPU utilization data is not visible clearly on graph to the
user. How can the data be viewed better on the same graph?

A user is displaying the CPU utilization, and Network in and Network out CloudWatch metrics data of a single
instance on the same graph. The graph uses one Y-axis for CPU utilization and Network in and another Y-axis
for Network out. Since Network in is too high, the CPU utilization data is not visible clearly on graph to the
user. How can the data be viewed better on the same graph?

A.
It is not possible to show multiple metrics with the different units on the same graph

B.
Add a third Y-axis with the console to show all the data in proportion

C.
Change the axis of Network by using the Switch command from the graph

D.
Change the units of CPU utilization so it can be shown in proportion with Network

Explanation:
Amazon CloudWatch provides the functionality to graph the metric data generated either by the AWS services
or the custom metric to make it easier for the user to analyse. It is possible to show the multiple metrics with
different units on the same graph. If the graph is not plotted properly due to a difference in the unit data over
two metrics, the user can change the Y-axis of one of the graph by selecting that graph and clicking on the
Switch option.



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mCephin

mCephin

C
You can set custom bounds for the Y axis on a graph to help you see the data better. For example, you can change the bounds on a CPUUtilization graph to 100 percent so that it’s easy to see whether the CPU is low (the plotted line is near the bottom of the graph) or high (the plotted line is near the top of the graph).

You can switch between two different Y axes for your graph. This is particularly useful if the graph contains metrics that have different units or that differ greatly in their range of values.