Free Prometheus-Certified-Associate Exam Questions - Easiest Way for Success

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Total 226 Questions | Updated On: Sep 14, 2024

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Question 1

Which of the following types of observability data is MOST closely related to the definition given below?

A numeric measurement recorded over time

A : Time Table

B : Time Series

C : Metric

D : Trace

Answer: B

Question 2

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

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 3

Which of the following queries contains a range selector?

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 4

Regarding the offset modifier, which of the following queries is NOT valid?

A : sum(http_requests_total{method="GET"}) offset 5m

B : http_requests_total offset 5m

C : rate(http_requests_total[5m] offset 5m)

D : sum(http_requests_total{method="GET"} offset 5m)

Answer: A

Question 5

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?

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

Page: 1 / 46

Total 226 Questions | Updated On: Sep 14, 2024

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