Question 1

Given the following 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 1 0

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

Query: count(up) by (job)

Options :

A : up{job="node", instance="node1"} 5

B : up{job="node", instance="node2"} 5

C : {job="node"} 2

D : {} 2

E : {job="node", instance="node1"} 5

F : {job="node", instance="node2"} 5

Answer: C

Question 2

Which of the following queries contains a range selector?

Options :

A : sum(up) / count(up)

B : delta(node_mem_MemAvailable_bytes[1h])

C : histogram_quantile(0.5, http_request_duration_seconds_bucket)

D : avg(up)

Answer: B

Question 3

What is a Prometheus annotation?

Options :

A : Metadata that uniquely identifies a time series

B : Metadata that provides longer-form information about an alert

C : Metadata used to expose identifying information about targets discovered via various service discovery mechanisms

D : Metadata that uniquely identifies an alert

Answer: B

Question 4

What is the definition of a log?

Options :

A : A numeric measurement

B : A textual representation of an event, commonly structured with key-value pairs

C : A detailed accounting of distributed service-to-service calls in a transaction

D : A numeric measurement recorded over time

Answer: B

Question 5

Regarding alert symptoms and causes, which of the following is NOT true?

Options :

A : As a best practice, alerting should be done on symptoms, not causes

B : Symptoms correspond to consumer-visible issues

C : Causes relate to issues that underlie symptoms

D : Causes are a better way to capture more problems more comprehensively and robustly with less effort

Answer: D

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