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Objective 4.3

PCDE

Managing metrics, dashboards, and alerts

Objective 4.3 sits in Implementing observability practices and troubleshooting issues, which carries 25% of the Cloud DevOps Engineer exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.

Objective title verbatim from the official objectives. Google Cloud exam page ↗

A worked example

Shown solved, with the whole explanation open: this is what every question here carries.

4-3Implementing observability practices and troubleshooting issues

A team wants an incident opened when a disk is likely to reach 80 percent within a day. Which condition type does that?

A metric-threshold condition with a long retest windowA longer retest window still waits for the value to cross, which is exactly too late here.
A forecasted metric-value condition on the metricCorrect · your answerCorrect: the projection fires ahead of the breach.
A metric-absence condition on the disk metricAbsence conditions fire when data stops arriving, and the disk is reporting perfectly well.
A log-based condition matching a capacity warningNo log message is involved, and waiting for one would depend on the disk announcing itself.

Correct.

Concept

Alerting on a value already crossed leaves no time to act on a resource that fills gradually. Projecting the curve forward converts a certainty about the past into a warning about the future.

Why B

One condition type predicts that a threshold will be crossed inside a chosen horizon, and that horizon runs from one hour to seven days. Nothing has to be breached for it to open an incident.

Source

Forecasted metric-value conditions are met when the alerting policy predicts that the threshold will be violated within the upcoming forecast window. The forecast window can range from 1 hour to 7 days.

Google Cloud: Alerting overview, checked August 2026
#cloud-monitoring#alerting#conditions

Now you: objective 4.3 questions

No account needed. The explanation opens when you answer.

Sample question 1 of 3

4-3Implementing observability practices and troubleshooting issues

An engineer sets a metric-absence condition and asks how long its retest window may run. What is the maximum?

Sample question 2 of 3

4-3Implementing observability practices and troubleshooting issues

A team needs an alerting policy that reasons over more than 25 hours of data. Which condition type is recommended?

Sample question 3 of 3

4-3Implementing observability practices and troubleshooting issues

A team's alerting policy selects time series by a resource metadata label and behaves erratically. What explains that?

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Read the sources

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