This GCDL practice question tests your understanding of scaling with google cloud operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A team wants to set up alerts for when the error budget of their service is exhausted. The service has an SLO of 99.9% availability over a 30-day rolling window. Which condition should they use in Cloud Monitoring alerting?
error budget remaining < 10%
Directly alerts when error budget is nearly exhausted.
burn rate > 1 over 1 hour
Why wrong: Burn rate alerts on rate of consumption, not exhaustion.
latency > 100ms
Why wrong: Latency reflects performance, not error budget.
SLI < 99.9%
Why wrong: This triggers during SLO breach, which may be after budget exhaustion.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
error budget remaining < 10%
Option A is correct because the error budget is the amount of allowable downtime over the 30-day window (0.1% of total time). Setting an alert when the remaining budget drops below 10% gives the team early warning before the budget is fully exhausted, allowing proactive remediation. Cloud Monitoring alerting policies can use the `error_budget_remaining` metric to trigger on a threshold like < 10%.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
error budget remaining < 10%
Why this is correct
Directly alerts when error budget is nearly exhausted.
Related concept
Read the scenario before looking for a memorised answer.
burn rate > 1 over 1 hour
Why it's wrong here
Burn rate alerts on rate of consumption, not exhaustion.
latency > 100ms
Why it's wrong here
Latency reflects performance, not error budget.
SLI < 99.9%
Why it's wrong here
This triggers during SLO breach, which may be after budget exhaustion.
Common exam traps
Google Cloud often tests the distinction between proactive (error budget remaining) and reactive (SLI threshold) alerts, so candidates mistakenly choose SLI < 99.9% because it seems directly related to the SLO, but that triggers only after the SLO is broken, not before the budget runs out.
Detailed technical explanation
The error budget is calculated as (1 - SLO) * total time in the window; for 99.9% over 30 days, that is 0.001 * 2,592,000 seconds = 2,592 seconds (43.2 minutes). Cloud Monitoring uses the `error_budget_remaining` metric, which is a ratio of remaining error budget to total budget, and alerting on < 10% triggers when less than 4.32 minutes of downtime remain. This approach aligns with Google's SRE practices, where early warning prevents full budget exhaustion and potential customer-impacting outages.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..
The correct answer is: error budget remaining < 10% — Option A is correct because the error budget is the amount of allowable downtime over the 30-day window (0.1% of total time). Setting an alert when the remaining budget drops below 10% gives the team early warning before the budget is fully exhausted, allowing proactive remediation. Cloud Monitoring alerting policies can use the `error_budget_remaining` metric to trigger on a threshold like < 10%.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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