Google Cloud · GCP-PCDO · Advanced

Professional Cloud DevOps Engineer — Practice Questions and Mock Exam

Name: Pass-IT
Author: Pass-IT

Prepare for GCP-PCDO with original practice questions and clear answer explanations. Ask Alex, your AI tutor, when you need more detail, use your results to identify topics to review, and practice your pacing with timed mock exams.

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55Mock exam questions

120minTime limit

Checked against Google Cloud · August 2026 · Current exam version

Overview

About the exam

The Google Cloud Professional Cloud DevOps Engineer certification validates expertise in implementing processes and capabilities throughout the systems development lifecycle using Google-recommended methodologies and tools. Candidates demonstrate their ability to enable efficient software and infrastructure delivery while balancing reliability with delivery speed.

This professional-level certification covers bootstrapping and maintaining Google Cloud organizations, building CI/CD pipelines for application, infrastructure, and ML workloads, applying site reliability engineering practices, implementing observability and troubleshooting, and optimizing performance and cost. It is designed for engineers with 3+ years of industry experience including 1+ years managing production systems on Google Cloud.

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Try five GCP-PCDO questions

Try five practice questions from the app’s current Professional Cloud DevOps Engineer question bank, with answers and explanations.

Implementing observability practices and troubleshooting issues1 / 5

You need to export Cloud Logging logs to BigQuery for long-term analysis and correlation with other business data. How should you configure the log export?

AlexFull explanation from Alex

To export Cloud Logging logs to BigQuery, create a log sink via the Log Router with a BigQuery dataset destination and an inclusion filter specifying which logs to route (docs.cloud.google.com/logging/docs/export/configure_export_v2). The Log Router evaluates each log entry against sink filters and streams matching entries to BigQuery in near real-time, enabling SQL-based analysis and correlation with business data. Why not the others? Scheduling a Cloud Function to copy logs adds unnecessary complexity, latency, and duplicates built-in Log Router functionality. There is no 'BigQuery integration' toggle in Logs Explorer—log export requires explicit sink configuration. A Dataflow pipeline is over-engineered for standard log export, which sinks handle natively. Exam tip: Log sinks support four destination types—BigQuery, Cloud Storage, Pub/Sub, and Cloud Logging buckets—each suited for different retention and analysis patterns.

Sourcecloud.google.com

Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads2 / 5

Your CI pipeline needs to build container images securely within a VPC perimeter to prevent data exfiltration. Which Cloud Build feature should you use?

AlexFull explanation from Alex

Cloud Build private pools run builds on dedicated worker instances that can be peered to your VPC and placed inside a VPC Service Controls perimeter, preventing data exfiltration during builds (docs.cloud.google.com/build/docs/private-pools/using-vpc-service-controls). Setting egressOption to NO_PUBLIC_EGRESS removes public internet access. Google docs state: 'VPC Service Controls protection is available only for builds run in private pools.' Why not the others? Workload Identity Federation authenticates external identities but does not provide network isolation during builds. IP allowlisting on triggers restricts who can trigger builds, not network egress during execution. Default Cloud Build workers run on Google-managed infrastructure outside your VPC—custom firewall rules cannot be applied. Exam tip: Private pools + VPC SC + NO_PUBLIC_EGRESS together provide the strongest build-time network security on Google Cloud.

Sourcecloud.google.com

Optimizing performance and cost5 / 5

You are running a batch data processing workload on Compute Engine that can tolerate interruptions and needs to complete within a 24-hour window. You want to minimize compute costs. Which VM type should you use?

AlexFull explanation from Alex

Spot VMs are excess Compute Engine capacity available at up to 91% discount compared to standard VM pricing. They are ideal for fault-tolerant, interruptible workloads like batch data processing because Compute Engine can preempt them at any time when resources are needed elsewhere. Unlike preemptible VMs (the legacy equivalent), Spot VMs have no 24-hour maximum runtime. The workload must handle interruptions gracefully, typically through checkpointing. Standard VMs with sustained use discounts still cost significantly more than Spot VMs. Sole-tenant nodes are for workloads requiring physical isolation, not cost optimization. Committed use discounts require 1-3 year commitments and are best for steady-state workloads, not batch processing. Exam tip: Spot VMs replace preemptible VMs and offer the same pricing model but without the 24-hour maximum lifetime limitation.

Sourcecloud.google.com

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Question pool

533 practice questions

The Pass-IT question pool gives you material to practice for GCP-PCDO. A Pass-IT mock exam uses 55 questions and a 120-minute time limit; these are practice settings.

Pool details: GCP-PCDO

Objectives in the guide19 objectives listed in the official guide

across 5 domains in the official exam guide

Pool size533 questions

= The pool size is equivalent to 9 sets of 55 questions; this does not mean that each mock exam uses a separate set.

Blueprint domains5 domains in the exam blueprint

Bootstrapping and maintaining a Google Cloud organization 122 · Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads 127 · Applying site reliability engineering practices 87 · Implementing observability practices and troubleshooting issues 137 · Optimizing performance and cost 60

Recorded as checked against sources533 of 533

questions recorded as having their answer, options, and explanation checked against official Google Cloud documentation

How questions are made →

Exam domains

What's on the exam

Building CI/CD pipelines and implementing observability are tied for the largest share at 25% each. The first covers designing pipelines across application, infrastructure, and ML workloads, running canary or blue/green deployment strategies, and closing off supply-chain risk with vulnerability scanning and provenance checks; the second covers turning application telemetry (event logs, metrics, distributed traces) into dashboards, alerting policies, and Gemini Cloud Assist analysis. Bootstrapping and maintaining the Google Cloud organization (resource hierarchy, shared networking, IAM policy, infrastructure as code) takes 20%. SRE practice, including SLIs, SLOs, error budgets, and incident mitigation, takes 18%. Cost and performance optimization through FinOps practices closes the blueprint at 12%.

Half the exam sits in pipeline engineering and observability rather than SRE theory, which means candidates who have read about error budgets but never wired up an alerting policy or traced a request across services are underprepared for how concrete the questions get.

Exam blueprint: GCP-PCDO

Bootstrapping and maintaining a Google Cloud organization~20%

Lay out an organization's resource hierarchy, shared networking, and IAM policies from the ground up, manage the resulting infrastructure through code, design a CI/CD stack that spans hybrid and multi-cloud environments, keep staging and production cleanly separated, and provide secure, AI-assisted development environments for the teams building on top of it.

≈ 24 h

Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads~25%

Design CI/CD pipelines that span applications, infrastructure, and ML workloads, run them with deployment strategies like canary and blue/green, keep their configuration and secrets under proper key management, and secure the pipeline itself with vulnerability scanning and supply-chain checks.

≈ 30 h

Applying site reliability engineering practices~18%

Balance change velocity and reliability using SLIs, SLOs, and error budgets, manage the service lifecycle including capacity planning and autoscaling, and mitigate incident impact on users through traffic redirection and rollback strategies.

≈ 22 h

Implementing observability practices and troubleshooting issues~25%

Instrument applications to emit logs, metrics, and traces, then make sense of that telemetry through dashboards, alerting policies, and distributed trace analysis when tracking down infrastructure, pipeline, or application problems.

≈ 30 h

Optimizing performance and cost~12%

Collect performance information using application performance monitoring and Active Assist insights, and implement FinOps practices such as spot VMs, committed-use discounts, and Google Cloud recommenders to optimize resource costs.

≈ 14 h

Format

Exam format and question types

The exam draws 50–60 multiple-choice and multiple-select questions inside a 120-minute window, weighted roughly 80% single-answer to 20% multiple-select. Most items are scenario-based, applying CI/CD design, SRE practice, or observability instrumentation to a situation involving Cloud Build, Cloud Deploy, GKE, Cloud Logging, or Cloud Monitoring.

Question types: GCP-PCDO

Multiple Choice80%

Select the single answer that best meets the question’s requirements.

Multiple Response20%

Select multiple answers. Follow the question’s instructions on how many to choose.

See Google Cloud for official question-format information. The shares shown describe the Pass-IT practice pool; they do not establish the proportions on the official exam.

Planning

Preparing for GCP-PCDO

The exam is delivered online with remote proctoring or at an authorized Pearson VUE testing center, and is offered in English and Japanese. The certification holds for 2 years; recertification means passing the current version of the exam.

Preparation and logistics: GCP-PCDO

Preparation

Illustrative study time70–180 h

illustrative planning range: 70 h with relevant experience to 180 h when starting out; your needs may fall outside this range

LevelAdvanced

Recommended backgroundNo formal prerequisites. Recommended 3+ years of industry experience including 1+ years designing and managing production systems using Google Cloud.

Taking and maintaining the certification

DeliveryOnline proctored or at an authorized Pearson VUE testing center

Retake policy14-day wait after first attempt, 60-day wait after second, 365-day wait after third

Certification validity2 years

Recertification required every 2 years by passing the current version of the exam

Official guideView on provider site

Study notes

Common pitfalls

Topics to review: GCP-PCDO

01SRE Practices
Underestimating the depth of SLI/SLO/SLA definitions, error budget calculations, and the relationship between reliability targets and feature velocity.
02Supply Chain Security
Neglecting Binary Authorization, SLSA framework, and Artifact Analysis — the exam heavily tests software supply chain security concepts.
03Observability Stack
Insufficient knowledge of the full observability stack including OpenTelemetry, Cloud Trace, distributed tracing correlation, and Gemini Cloud Assist capabilities.
04IaC and GitOps
Not knowing the differences between Infrastructure Manager, Config Connector, Cloud Foundation Toolkit, and when to use each IaC approach.
05Deployment Strategies
Confusing canary, blue/green, rolling, and traffic splitting strategies and not knowing how Cloud Deploy implements each.
06Cost Optimization
Overlooking FinOps practices including committed-use discounts, sustained-use discounts, Spot VMs, and Google Cloud recommenders.

Practice with questions and explanations in Pass-IT →

Questions

Frequently asked questions

Which pitfalls should I review when preparing for Professional Cloud DevOps Engineer?

Topics to review include SRE Practices, Supply Chain Security, Observability Stack, IaC and GitOps, Deployment Strategies, Cost Optimization. Work through examples to check that you understand the distinctions and can explain your answer.

How is the Professional Cloud DevOps Engineer exam weighted?

Two sections tie for the largest share at 25% each: building CI/CD pipelines, and implementing observability and troubleshooting issues. Bootstrapping and maintaining an organization takes 20%, site reliability engineering practices 18% and optimizing performance and cost 12%. Half the exam is therefore pipelines and observability.

What background does the Cloud DevOps Engineer exam expect?

Three or more years of industry experience with at least one year running production systems on Google Cloud, as a recommendation rather than a requirement. The catalog budget is 120 hours. The site reliability engineering section in particular assumes you have carried a pager, because it asks about trade-offs rather than definitions.

How long is Professional Cloud DevOps Engineer valid?

Two years, and recertification means passing the then-current version of the exam. Google Cloud offers no credit-based alternative for this certification.

What is the retake policy for the Cloud DevOps Engineer exam?

Fourteen days after the first failed attempt, 60 days after the second and 365 days after the third. That third gap is long enough that the exam is worth taking seriously on the second attempt rather than the first.

One certification, 12 months

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