Question 76 of 507
Scaling with Google Cloud operationshardMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the SLO was missed because 47 minutes of downtime exceeds the allowable error budget. This is correct because a 99.9% monthly availability SLO permits only 43.2 minutes of downtime in a 30-day period, calculated as 30 days × 24 hours × 60 minutes × 0.001. Since the actual downtime was 47 minutes, the error budget was exceeded by 3.8 minutes, meaning the service failed to meet its reliability target. On the Google Cloud Digital Leader exam, this concept tests your understanding of how SRE teams use error budgets to balance reliability with feature velocity. A common trap is confusing the SLO percentage with the allowed downtime percentage—remember that 99.9% availability means 0.1% downtime, not 1%. A useful memory tip: for a 99.9% SLO, think of the "three nines" rule—each nine after the decimal roughly corresponds to a factor of ten in allowed downtime, so 99.9% allows just over 43 minutes per month, while 99.99% would allow only about 4.3 minutes.

Cloud Digital Leader Scaling with Google Cloud operations Practice Question

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.

An SRE team analyzes that their service had 47 minutes of downtime in the past 30 days. Their SLO is 99.9% monthly availability. How should the team characterize their performance relative to the SLO?

Question 1hardmultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The SLO was missed: 99.9% availability allows approximately 43.2 minutes of downtime in a 30-day month, so 47 minutes exceeded the error budget by about 3.8 minutes

The SLO of 99.9% monthly availability allows a maximum downtime of 43.2 minutes in a 30-day month (30 days × 24 hours × 60 minutes × 0.001 = 43.2 minutes). Since the actual downtime was 47 minutes, the error budget was exceeded by 3.8 minutes, meaning the SLO was missed. This calculation is standard for Google Cloud SRE practices, where error budgets are derived directly from the SLO percentage.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The SLO was met because 47 minutes is less than 1 hour of downtime per month

    Why it's wrong here

    Meeting an SLO requires calculation against the specific target, not a round-number intuition. 99.9% allows 43.2 minutes; 47 minutes exceeds this by ~3.8 minutes. The SLO was missed.

  • The SLO was missed: 99.9% availability allows approximately 43.2 minutes of downtime in a 30-day month, so 47 minutes exceeded the error budget by about 3.8 minutes

    Why this is correct

    The math: 30 days × 24 hours × 60 minutes = 43,200 minutes. 0.1% × 43,200 = 43.2 minutes allowed downtime. 47 minutes actual > 43.2 minutes allowed → SLO missed by ~3.8 minutes. The error budget is exhausted and the team should prioritize reliability work.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The SLO cannot be evaluated because downtime minutes are not the correct unit for measuring availability

    Why it's wrong here

    Availability is directly calculable from downtime minutes. Availability % = (total minutes − downtime minutes) / total minutes × 100. Downtime minutes are a valid and direct measure.

  • The SLO was met with margin because 47 minutes represents less than 0.5% downtime

    Why it's wrong here

    47/43,200 = 0.109% downtime, which corresponds to 99.891% availability — below the 99.9% SLO target. Even small fractions of a percent matter in SLO math.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the precise calculation of error budgets from SLO percentages, trapping candidates who round or assume common approximations (like 1 hour per month) instead of computing the exact allowed downtime.

Detailed technical explanation

How to think about this question

The error budget is calculated as (1 - SLO) × total time in the period. For a 99.9% SLO over a 30-day month (43,200 minutes), the budget is 43.2 minutes. In Google Cloud SRE, exceeding the error budget triggers a freeze on new feature releases until the budget is replenished, enforcing reliability over velocity. This aligns with the SRE principle of using error budgets to balance reliability and innovation.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

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

Questions learners often ask

What does this GCDL question test?

Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The SLO was missed: 99.9% availability allows approximately 43.2 minutes of downtime in a 30-day month, so 47 minutes exceeded the error budget by about 3.8 minutes — The SLO of 99.9% monthly availability allows a maximum downtime of 43.2 minutes in a 30-day month (30 days × 24 hours × 60 minutes × 0.001 = 43.2 minutes). Since the actual downtime was 47 minutes, the error budget was exceeded by 3.8 minutes, meaning the SLO was missed. This calculation is standard for Google Cloud SRE practices, where error budgets are derived directly from the SLO percentage.

What should I do if I get this GCDL question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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