Question 1

A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?

Options :

A : Rate

B : Sum transformation

C : Tlmeshift

D : Standard deviation

Answer: C

Question 2

When writing a detector with a large number of MTS, such as memory. free in a deployment with 30,000 hosts, it is possible to exceed the cap of MTS that can be contained in a single plot. Which of the choices below would most likely reduce the number of MTS below the plot cap?

Options :

A : Select the Sharded option when creating the plot

B : Add a filter to narrow the scope of the measurement

C : Add a restricted scope adjustment to the plot.

D : When creating the plot, add a discriminator.

Answer: A

Question 3

Which of the following statements about adding properties to MTS are true? (select all that apply)

Options :

A : Properties can be set via the API.

B : Properties are sent in with datapoints

C : Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension

D : Properties can be set in the UI under Metric Metadata

Answer: A,D

Question 4

When installing OpenTelemetry Collector, which error message is indicative that there is a misconfigured realm or access token?

Options :

A : 403 (NOT ALLOWED)

B : 404 (NOT FOUND)

C : 401 (UNAUTHORIZED)

D : 503 (SERVICE UNREACHABLE)

Answer: C

Question 5

To smooth a very spiky cpu.utilization metric, what is the correct analytic function to better see if the cpu. utilization for servers is trending up over time?

Options :

A : Rate/Sec

B : Median

C : Mean (by host)

D : Mean (Transformation)

Answer: D

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