Question 1

You are instrumenting an HTTP API with Prometheus metrics. You want to be able to get the 99th percentile latency of requests handled by your API.How should you accomplish this?

Options :

A : Calculate the 99th percentile within the application, expose as a latency metric

B : Calculate the 99th percentile within the application, expose as a gauge metric

C : Expose a summary metric with no configured quantiles, use PromQL to calculate the 99th percentile

D : Expose a histogram metric, use PromQL to calculate the 99th percentile

Answer: D

Question 2

Given the following two time series and assuming a scrape interval of 1m, what is the result of the query given below?Series:up{job="node", instance="node1"} 0 1 1 0 NaNup{job="node", instance="node2"} 1 0 1 1 0Query: max_over_time(up[5m])

Options :

A : {job="node", instance="node1"} NaN

B : {job="node", instance="node2"} 1

C : {job="node", instance="node1"} 1

D : job="node", instance="node2"} 1

E : {job="node"} 0

F : up{job="node", instance="node1"} 1

G : up{job="node", instance="node2"} 1

Answer: C

Question 3

What is the function of the for attribute in a Prometheus alerting rule?

Options :

A : Specify the time range over which samples are considered for the alerting expression

B : Specify how many series must satisfy the expression to fire an alert

C : Specify how long the expression must be true before an alert is fired

D : Specify the thrashing window and threshold that determine when to stop firing alerts when the expression has recently oscillated between true and false

Answer: C

Question 4

What are Prometheus alerting rules?

Options :

A : Rules that evaluate a PromQL expression and save the result as a new time series

B : Rules that evaluate a PromQL expression and fire one or more alerts if the expression yields results

C : Rules that determine maintenance windows when notifications should not be sent

D : Rules that determine a set of alerts that should be inhibited based on the firing of other alerts

Answer: B

Question 5

Given the following two time series, what is the result of the query given below?Series:up{job="node", instance="node1"} 0 1 1 0 1up{job="node", instance="node2"} 1 0 1 1 1Query: sum(up)

Options :

A : {job="node", instance="node1"} 3

B : {job="node", instance="node2"} 4

C : {} 2

D : up{job="node", instance="node1"} 1

E : up{job="node", instance="node2"} 1

F : {job="node"} 2

Answer: C

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