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Question 1

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A service has an SLI measuring request latency. Over a 30-day period, the 99th percentile latency must be under 200ms. What is this an example of?

An SLA (Service Level Agreement)

An SLO (Service Level Objective)

An SLI (Service Level Indicator)

An Error Budget

to track

2026 Statistics

Key Facts: GCP DevOps Engineer Exam

60-65%

Est. Pass Rate

Industry estimate

Pass/Fail

Scoring

Scaled

80-120 hrs

Study Time

Recommended

120 min

Exam Duration

Google Cloud

$200

Exam Fee

Google Cloud

2 years

Cert Valid

Google Cloud

The GCP DevOps Engineer exam has approximately 50 questions in 120 minutes. The estimated pass rate is 60-65%. The exam covers CI/CD, SRE principles, service monitoring, incident management, and GCP DevOps tooling.

Sample GCP DevOps Engineer Practice Questions

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1A service has an SLI measuring request latency. Over a 30-day period, the 99th percentile latency must be under 200ms. What is this an example of?

A.An SLA (Service Level Agreement)

B.An SLO (Service Level Objective)

C.An SLI (Service Level Indicator)

D.An Error Budget

Explanation: An SLO (Service Level Objective) is a target value or range for a service level that is measured by an SLI. In this case, the SLI is the 99th percentile latency, and the SLO is the target of under 200ms over 30 days. An SLA is a formal contract with customers, an SLI is just the measurement (without the target), and an error budget is the amount of unreliability you can tolerate before violating the SLO.

2A team has an SLO of 99.9% availability for their service. Over a quarter, they achieve 99.95% availability. What is their error budget status?

A.They have consumed their entire error budget

B.They have 0.05% error budget remaining

C.They have not consumed any error budget since they exceeded their SLO

D.They have 0.95% error budget consumed

Explanation: Error budget is calculated as 100% minus the SLO target. With a 99.9% SLO, the error budget is 0.1% (or 0.001 in decimal). Since they achieved 99.95% availability, they used only 0.05% of their 0.1% error budget, leaving approximately 0.05% remaining. The error budget represents the acceptable level of failures, so exceeding the SLO means you have not fully consumed your budget.

3Which of the following is NOT one of the "Four Keys" DORA metrics used to measure DevOps performance?

A.Deployment Frequency

B.Lead Time for Changes

C.Mean Time To Recovery (MTTR)

D.Code Coverage Percentage

Explanation: The Four Keys of software delivery performance are: 1) Deployment Frequency (how often deployments happen), 2) Lead Time for Changes (time from code commit to production), 3) Change Failure Rate (percentage of deployments causing failures), and 4) Time to Restore Service (how long to recover from failure). Code Coverage is a useful metric but is not one of the Four Keys identified by DORA research.

4An engineering team spends approximately 40% of their time on manual ticket-based work such as provisioning resources, responding to access requests, and running manual scripts. According to SRE principles, what should be the primary focus for improvement?

A.Hiring more engineers to distribute the workload

B.Automating the toil to free up engineering time

C.Reducing the SLO targets to allow more failures

D.Outsourcing the manual work to a third party

Explanation: SRE principles emphasize identifying and eliminating toil - manual, repetitive, automatable work that lacks enduring value. Google recommends keeping toil below 50% of engineering time, with a goal of automating it away. The correct approach is to invest in automation (using tools like Terraform, Cloud Build, or custom scripts) to eliminate this toil, allowing engineers to focus on higher-value work like improving reliability and features.

5According to the SRE hierarchy of needs, which layer is the foundation that must be addressed first?

A.Monitoring and observability

B.Incident management and response

C.Eliminating toil through automation

D.Reliability and availability

Explanation: The SRE hierarchy of needs (similar to Maslow's hierarchy) has Monitoring at the foundation. You cannot effectively manage incidents, reduce toil, or improve reliability without first having good monitoring and observability in place. The hierarchy typically progresses from Monitoring → Incident Response → Postmortems → Testing/Release → Capacity Planning → Development/Productivity.

6A service's error budget is exhausted for the quarter. According to SRE best practices, what action should the team take?

A.Immediately increase the SLO target to allow more failures

B.Freeze all feature releases and focus solely on reliability work

C.Continue releasing features but with additional manual testing

D.Reduce monitoring to avoid seeing the errors

Explanation: When an error budget is exhausted, SRE best practices dictate freezing new feature releases and focusing engineering efforts on reliability improvements. This is a key feedback mechanism - the error budget policy creates a balance between feature velocity and reliability. If the service is unreliable (budget exhausted), all efforts shift to making it more reliable before new features are deployed.

7Which SLI type would be most appropriate for measuring a REST API service?

A.CPU utilization percentage

B.Request latency and error rate

C.Number of developers on the team

D.Total lines of code in the service

Explanation: For a REST API service, the most appropriate SLIs (Service Level Indicators) are request latency (how fast responses are) and error rate (what percentage of requests fail). These directly measure the user-facing experience of the service. CPU utilization is an infrastructure metric, not a service-level indicator. Developer count and code lines are not meaningful SLIs.

8What is the primary purpose of defining an Error Budget Policy?

A.To set a target for maximum acceptable errors per quarter

B.To provide a mechanism for balancing reliability work against feature development

C.To calculate the financial cost of service downtime

D.To determine how many engineers should be on-call

Explanation: An Error Budget Policy provides a data-driven mechanism for balancing reliability work against feature development. It defines what actions to take at different stages of error budget consumption (e.g., slow down releases at 50%, freeze features at 100%). This creates an explicit agreement between SRE and product teams about the trade-offs between velocity and reliability.

9A team wants to improve their Lead Time for Changes DORA metric. Which practice would be most effective?

A.Requiring more manual approval steps before deployment

B.Implementing automated CI/CD pipelines with automated testing

C.Deploying only during business hours

D.Having developers work in longer-lived feature branches

Explanation: Lead Time for Changes measures the time from code commit to production deployment. Implementing automated CI/CD pipelines with comprehensive automated testing is the most effective way to reduce this metric. More manual approvals and longer feature branches would increase lead time. Deploying only during business hours doesn't affect the measurement of lead time itself.

10Which of the following best describes "toil" in the context of SRE?

A.Any work that engineers find boring

B.Manual, repetitive, automatable work that lacks enduring value

C.Work that requires on-call rotations

D.Documentation and meeting overhead

Explanation: Toil is defined as manual, repetitive, automatable work that lacks enduring value and scales linearly with service growth. Examples include manual provisioning, ticket-based access requests, manual log checking, and repetitive deployment steps. The goal of SRE is to automate toil away, keeping it below 50% of engineering time. Not all boring work is toil, and not all toil is boring.

About the GCP DevOps Engineer Exam

The Google Cloud Professional DevOps Engineer certification validates the ability to build CI/CD pipelines, implement SRE practices, optimize service performance, and manage incidents on Google Cloud.

Questions

50 scored questions

Time Limit

120 minutes

Passing Score

Scaled (pass/fail)

Exam Fee

$200 (Google Cloud / Kryterion)

GCP DevOps Engineer Exam Content Outline

25%

Applying SRE Principles

SLIs, SLOs, error budgets, toil reduction, blameless postmortems, and reliability engineering

25%

Building & Implementing CI/CD

Cloud Build, Artifact Registry, deployment strategies (canary, blue-green), and GitOps workflows

20%

Service Monitoring & Optimization

Cloud Monitoring, Cloud Logging, dashboards, alerting, performance optimization, and cost management

15%

Incident Management

Incident response, on-call procedures, communication, root cause analysis, and postmortem processes

15%

Managing GCP Services

GKE operations, Cloud Run deployments, infrastructure as code (Terraform), and configuration management

How to Pass the GCP DevOps Engineer Exam

What You Need to Know

Passing score: Scaled (pass/fail)
Exam length: 50 questions
Time limit: 120 minutes
Exam fee: $200

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

GCP DevOps Engineer Study Tips from Top Performers

1Study the Google SRE book — SLI/SLO/error budget concepts are heavily tested

2Master Cloud Build: build configurations, triggers, and multi-stage builds

3Understand deployment strategies: canary, blue-green, rolling, and traffic splitting

4Practice incident management workflows: detection, triage, mitigation, and postmortem

5Know GKE operations: cluster upgrades, node pool management, and workload autoscaling

Frequently Asked Questions

What is the GCP DevOps Engineer pass rate?

The estimated pass rate is 60-65%. The exam tests practical knowledge of CI/CD pipelines, SRE practices, and GCP operational tools.

What SRE concepts are tested?

Key SRE topics: SLIs (Service Level Indicators), SLOs (Service Level Objectives), error budgets, toil identification/reduction, blameless postmortems, and incident management frameworks.

How long should I study?

Most candidates study 6-10 weeks, investing 80-120 hours. Read the Google SRE book and practice with Cloud Build, GKE, and Cloud Monitoring.

What experience is recommended?

Google recommends 3+ years of industry experience with 1+ year managing GCP solutions. Experience with CI/CD tools, containers, and monitoring systems is essential.