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★ 43,965+ GCP PCDOE candidates assessed this year

Know exactly where you stand
before investing months in
GCP PCDOE preparation.

10 exam-based questions across all 5 domains. Discover your strongest and weakest domains, identify where you'll gain points fastest, and get a personalised readiness report in 10 minutes.

91%
discovered a weakness they didn't know they had
+34%
average readiness improvement after following their plan
10 min
personalised readiness assessment
No credit card No Login required Results in 10 minutes Personalised report
12 GCP PCDOE candidates took this test today  ·  Trusted by 43,965+ this year

What this test does

1
Diagnoses gaps - not just a score
10 scenario-based questions mirror real Google Cloud Professional DevOps Engineer difficulty. Every answer is analysed for speed, confidence, and domain accuracy.
2
Identifies the domains with the biggest impact on your score
Most Google Cloud Professional DevOps Engineer failures come from just 1–2 weak domains. This test finds yours - by name - so you know exactly where to focus.
3
Gives you a pass-ready date and daily plan
Your report includes a predicted date you'll cross the 90% readiness threshold and a day-by-day study schedule built around your gaps.

GCP PCDOE domains covered in this test

Optimizing performance and cost
7
12 of exam
Applying site reliability engineering practices
11
18 of exam
Bootstrapping and maintaining a Google Cloud organization
12
20 of exam
Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads
15
25 of exam
Implementing observability practices and troubleshooting issues
15
25 of exam

Stop guessing.
Know your GCP PCDOE gaps before exam day.

Free, instant, no login. Takes 10 minutes. Your report shows exactly what to fix - by domain.

No credit card No email to start Instant result

Frequently asked questions

How hard is the Professional Cloud DevOps Engineer exam? +
It is a demanding professional exam because it tests SRE the way Google defines it. SLIs, SLOs, error budgets, toil, and blameless postmortems follow Google's SRE playbook, and candidates whose teams practice DevOps differently pick answers that conflict with Google's definitions. It also expects depth in Google-native tools rather than Jenkins or GitHub Actions.
What is the Professional Cloud DevOps Engineer exam format? +
The exam is two hours long with 50 to 60 multiple-choice and multiple-select questions. You can take it at a Kryterion test center or online with remote proctoring. Questions are scenario-based and often ask for the best next step given an SLO, an incident, or a pipeline requirement.
What is the passing score for the Cloud DevOps Engineer exam? +
Google Cloud does not publish a passing score. You receive a pass or fail result without a percentage. Since there is no known target, use consistently strong performance across every section of the exam guide as your readiness signal before booking. Some candidates receive a provisional result at the test, with the official result following later.
How much does the exam cost and how long is it valid? +
The exam costs 200 USD plus applicable taxes. There are no prerequisites, but Google recommends three or more years of industry experience, including at least one year managing solutions on Google Cloud. The certification is valid for two years. After a failed attempt you wait 14 days, then 60 days after a second failure, then a year after a third.
What does the exam cover beyond CI/CD? +
A full section covers bootstrapping and maintaining a Google Cloud organization, including resource hierarchy and IAM, which pipeline-focused engineers rarely configure. CI/CD centers on Cloud Build, Cloud Deploy, Artifact Registry, and Binary Authorization. Observability covers Cloud Monitoring, Cloud Logging, OpenTelemetry, and Managed Service for Prometheus, and candidates often confuse which tool does what.
How long should I prepare for the Cloud DevOps Engineer exam? +
Engineers with Google Cloud and SRE experience typically need 6 to 10 weeks. Read Google's SRE material on SLOs, error budgets, and incident management, then build a pipeline with Cloud Build and Cloud Deploy. Spend time on organization setup and on which observability tool collects, stores, or alerts on each signal.