Question 1

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 2

What is the definition of an error budget?

Options :

A : The set of actions to be taken when an SLO or SLA has been breached

B : The measurement for an SLO

C : The maximum time a system can be down without violating an SLO or SLA

D : The number of errors a system can have without having an adverse effect on the company budget

Answer: C

Question 3

You want to configure a Blackbox Exporter probe that checks whether or not your servers respond successfully to ping.

What type of probe should you use?

Options :

A : TCP

B : HTTP

C : gRPC

D : ICMP

Answer: D

Question 4

What is the definition of an event?

Options :

A : A numeric measurement

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

C : An occurrence of something

D : An occurrence of an error

Answer: C

Question 5

You are instrumenting an HTTP API with Prometheus metrics. You want to be able to get the percentage of requests that have resulted in a 401 or 403 status code over the last 5 minutes.

How should you accomplish this?

Options :

A : Keep track of the 5-minute percentage of 401 and 403 requests separately within the application. Expose two gauge metrics, one called http_401_request_percent and the other called http_403_request_percent. Calculate the average in PromQL as (http_401_request_percent + http_403_request_percent) / 2.

B : Keep track of the 5-minute percentage of 401 and 403 requests within the application. Expose a gauge metric called http_401_403_request_percent. Query directly via PromQL.

C : Define a gauge metric http_requests labeled by status_code that tracks the number of requests received for all status codes. Obtain the 5-minute percentage in PromQL as sum(increase(http_requests{status_code=~"401|403"}[5m])) / sum(increase(http_requests[5m])).

D : Define a counter metric http_requests_total labeled by status_code that tracks the number of requests received for all status codes. Obtain the 5-minute percentage in PromQL as sum(increase(http_requests_total{status_code=~"40[31]"}[5m])) / sum(increase(http_requests_total[5m])).

Answer: D

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