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Google Cloud Professional Cloud DevOps Engineer Practice Test

Professional Cloud DevOps Engineer Practice Test

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Questions updated at Aug 29, 2026, 11:44 PM CDT

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Today's 10 Professional Cloud DevOps Engineer questions

Use this Professional Cloud DevOps Engineer practice test to review Google Cloud Professional Cloud DevOps Engineer. Questions rotate daily and each answer links back to the source used to write it.

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200 verified questions are in the live bank. Free daily questions are selected from a rotating sample set. Unlock Pro to access the full question bank.

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Question 1 of 10
Objective Managing metrics, dashboards, and alerts Implementing observability practices and troubleshooting issues (~25%)

A mission-critical service currently pages only through Slack. The team wants to reduce the risk that an outage in one notification delivery path hides an incident. What should they do?

Concept tested:
Question 2 of 10
Objective Troubleshooting issues Implementing observability practices and troubleshooting issues (~25%)

A cross-project log sink exists and its filter matches test entries, but the destination receives nothing. What should the engineer inspect next?

Concept tested:
Question 3 of 10
Objective Implementing FinOps practices for optimizing resource utilization and costs Optimizing performance and cost (~12%)

A media-processing pipeline can divide jobs into independent tasks. Management wants maximum Spot VM savings without losing completed work when instances are reclaimed. What workload design is best?

Concept tested:
Question 4 of 10
Objective Managing service lifecycle Applying site reliability engineering practices (~18%)

A launch is expected to triple traffic. Load tests show the architecture can scale, but the target region's project quota is below the required peak instance count. What should happen before launch?

Concept tested:
Question 5 of 10
Objective Managing multiple environments Bootstrapping and maintaining a Google Cloud organization (~20%)

A SaaS team wants a short-lived environment for each pull request. Environments must be reproducible, isolated, and deleted when the pull request closes. Which operating model best fits?

Concept tested:
Question 6 of 10
Objective Securing the deployment pipeline Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads (~25%)

Production policy trusts images produced by a protected Cloud Build pipeline. An engineer can currently upload an arbitrary image directly to the production repository. What should be changed?

Concept tested:
Question 7 of 10
Objective Collecting performance information in Google Cloud Optimizing performance and cost (~12%)

Users in several projects report intermittent cross-zone latency. The team wants to determine whether packet loss is project-specific or part of a broader Google Cloud network event. Which tool is the best first network-focused view?

Concept tested:
Question 8 of 10
Objective Balancing change, velocity, and reliability of the service Applying site reliability engineering practices (~18%)

A service averages 100 ms latency, but 3% of users experience multi-second delays that make checkout unusable. What SLO design would better expose the problem?

Concept tested:
Question 9 of 10
Objective Designing the overall resource hierarchy for an organization Bootstrapping and maintaining a Google Cloud organization (~20%)

An automation service needs to deploy resources in one production project. Auditors want permissions narrowly scoped and independent of any employee account. Which identity design is best?

Concept tested:
Question 10 of 10
Objective Implementing and managing pipelines Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads (~25%)

Six months after an incident, the team must identify the image digest, build, release, rollout, and principal associated with the production version at that time. What pipeline property is most important?

Concept tested:
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The free daily Professional Cloud DevOps Engineer set includes crawlable question text, answer choices, correct answer labels, objective mapping, and source links. Only the first SEO card includes answer explanations and any extra learning features. Pro-only bank questions stay locked; this section mirrors only the 10 free daily questions already shown on this page.

Question 1 A mission-critical service currently pages only through Slack. The team wants to reduce the risk that an outage in one notification delivery path hides an incident. What should they do?

Answer choices

  1. A. Send the same alert twice to the same Slack channel with different display names, for the same production alert, responder ownership, escalation policy, and active on-call coverage window.
  2. B. Disable incident notifications and rely on engineers watching the Monitoring dashboard continuously.
  3. C. Configure a redundant notification channel using a different delivery mechanism, such as email or Pub/Sub, in addition to Slack.
  4. D. Create two Slack channels because duplicate destinations always use independent delivery infrastructure.

Correct answer

Configure a redundant notification channel using a different delivery mechanism, such as email or Pub/Sub, in addition to Slack.

Google recommends multiple notification-channel types for redundancy because some channels share delivery dependencies.

Wrong-answer review

  • A. Send the same alert twice to the same Slack channel with different display names, for the same production alert, responder ownership, escalation policy, and active on-call coverage window.: Duplicate messages through the same mechanism do not create independent delivery redundancy.
  • B. Disable incident notifications and rely on engineers watching the Monitoring dashboard continuously.: Manual dashboard watching is not a reliable substitute for incident notification.
  • D. Create two Slack channels because duplicate destinations always use independent delivery infrastructure.: Two Slack destinations can still share the same underlying notification service.

Extra learning features

Why candidates miss this

The choice of 'Send the same alert twice to the same Slack channel with different display names, for the same production alert, responder ownership, escalation policy, and active on-call coverage window.' is tempting because it attempts to provide redundancy. However, duplicate alerts do not create independent delivery redundancy. Likely wrong answer: Send the same alert twice to the same Slack channel with different display names, for the same production alert, responder ownership, escalation policy, and active on-call coverage window. Review focus: Create and manage notification channels

Interview question

Q: Google recommends multiple notification channel types for redundancy because some channels share delivery dependencies. Strong answer: Google recommends multiple notification channel types for redundancy because some channels share delivery dependencies.

  • multiple notification-channel types
  • delivery dependencies
  • redundancy

Caution: This is a restatement of the answer, not a meaningful explanation.

Objective/domain: Implementing observability practices and troubleshooting issues (~25%)

Source: Create and manage notification channels

Question 2 A cross-project log sink exists and its filter matches test entries, but the destination receives nothing. What should the engineer inspect next?

Answer choices

  1. A. Change the log severity to ERROR because sinks route only ERROR and higher by default.
  2. B. Increase the source log bucket retention because sink delivery stops when source retention is shorter than the destination.
  3. C. Check the sink writer identity and confirm it has the destination-specific IAM permission required to write there.
  4. D. Create more Ops Agent instances because sinks require an agent on the destination project.

Correct answer

Check the sink writer identity and confirm it has the destination-specific IAM permission required to write there.

Objective/domain: Implementing observability practices and troubleshooting issues (~25%)

Source: Route logs to supported destinations

Question 3 A media-processing pipeline can divide jobs into independent tasks. Management wants maximum Spot VM savings without losing completed work when instances are reclaimed. What workload design is best?

Answer choices

  1. A. Keep all job state only on each Spot VM's local memory because reclaimed instances preserve memory for replacement VMs.
  2. B. Assign each job permanently to one Spot VM and disable retry so duplicate work never occurs.
  3. C. Store the only copy of each input on the Spot VM boot disk and delete upstream data after task assignment.
  4. D. Use checkpointed or idempotent tasks backed by durable queues or state so reclaimed Spot workers can be replaced and work retried safely.

Correct answer

Use checkpointed or idempotent tasks backed by durable queues or state so reclaimed Spot workers can be replaced and work retried safely.

Objective/domain: Optimizing performance and cost (~12%)

Source: Spot VMs

Question 4 A launch is expected to triple traffic. Load tests show the architecture can scale, but the target region's project quota is below the required peak instance count. What should happen before launch?

Answer choices

  1. A. Rely on autoscaling because managed services ignore project quotas during user-facing traffic spikes.
  2. B. Wait for the quota to be hit in production and then open a support case while requests are failing.
  3. C. Set the autoscaler maximum above the quota because configuration values automatically reserve additional quota.
  4. D. Review and obtain needed quota increases or redesign capacity before relying on autoscaling for the event.

Correct answer

Review and obtain needed quota increases or redesign capacity before relying on autoscaling for the event.

Objective/domain: Applying site reliability engineering practices (~18%)

Source: Cloud quotas overview

Question 5 A SaaS team wants a short-lived environment for each pull request. Environments must be reproducible, isolated, and deleted when the pull request closes. Which operating model best fits?

Answer choices

  1. A. Provision each preview environment from versioned infrastructure and application configuration, then automate teardown from the pull-request lifecycle.
  2. B. Keep one shared staging namespace and let every pull request overwrite the same resources for faster feedback.
  3. C. Clone the current production project manually for each pull request and delete it when an engineer remembers to clean up, across the same fleet-managed cluster environments while retaining the environment boundaries and regional ownership model described in the scenario.
  4. D. Give each developer a permanent production-like project and stop updating it after initial provisioning.

Correct answer

Provision each preview environment from versioned infrastructure and application configuration, then automate teardown from the pull-request lifecycle.

Objective/domain: Bootstrapping and maintaining a Google Cloud organization (~20%)

Source: Professional Cloud DevOps Engineer exam guide

Question 6 Production policy trusts images produced by a protected Cloud Build pipeline. An engineer can currently upload an arbitrary image directly to the production repository. What should be changed?

Answer choices

  1. A. Allow uploads from administrators and assume IAM administrator status proves the artifact passed CI tests.
  2. B. Restrict production repository write access to the trusted build identity and enforce deploy-time provenance or attestation policy.
  3. C. Disable repository audit logging so manual uploads cannot confuse the automated deployment history.
  4. D. Keep direct uploads but require engineers to add the same image tag format used by Cloud Build, at the production deployment gate for images produced by the organization's approved build, provenance, and attestation path.

Correct answer

Restrict production repository write access to the trusted build identity and enforce deploy-time provenance or attestation policy.

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

Source: Artifact Registry access control

Question 7 Users in several projects report intermittent cross-zone latency. The team wants to determine whether packet loss is project-specific or part of a broader Google Cloud network event. Which tool is the best first network-focused view?

Answer choices

  1. A. Use Network Intelligence Center Performance Dashboard to compare project network observations with Google Cloud network performance.
  2. B. Use Cloud Build history because worker duration is a direct measurement of production VPC latency, for the same workload, region, production traffic profile, and representative measurement interval used to establish the performance baseline.
  3. C. Use Error Reporting because every network latency spike generates an application exception group.
  4. D. Use Artifact Registry because regional image replication metrics reveal live packet loss between workloads.

Correct answer

Use Network Intelligence Center Performance Dashboard to compare project network observations with Google Cloud network performance.

Objective/domain: Optimizing performance and cost (~12%)

Source: Performance Dashboard overview

Question 8 A service averages 100 ms latency, but 3% of users experience multi-second delays that make checkout unusable. What SLO design would better expose the problem?

Answer choices

  1. A. Measure only the single slowest request each month because one outlier defines overall user experience.
  2. B. Keep average latency because averages always capture tail behavior more accurately than request-based thresholds.
  3. C. Use total CPU time as the latency SLI because CPU is the main source of response delay.
  4. D. Define an SLI based on the proportion of requests meeting a user-relevant latency threshold rather than relying only on the mean.

Correct answer

Define an SLI based on the proportion of requests meeting a user-relevant latency threshold rather than relying only on the mean.

Objective/domain: Applying site reliability engineering practices (~18%)

Source: Service monitoring with SLOs

Question 9 An automation service needs to deploy resources in one production project. Auditors want permissions narrowly scoped and independent of any employee account. Which identity design is best?

Answer choices

  1. A. Use a dedicated service account for the automation and grant only the required roles on the production project or narrower resources.
  2. B. Create a service account key, store it in the source repository, and rotate the key during each release, within the same least-privilege identity boundary and resource scope required by the workload or pipeline.
  3. C. Run the automation with a developer's user credentials because user identities are easier to audit.
  4. D. Create one organization-wide service account with Owner so every automation job can reuse the same identity.

Correct answer

Use a dedicated service account for the automation and grant only the required roles on the production project or narrower resources.

Objective/domain: Bootstrapping and maintaining a Google Cloud organization (~20%)

Source: Service accounts overview

Question 10 Six months after an incident, the team must identify the image digest, build, release, rollout, and principal associated with the production version at that time. What pipeline property is most important?

Answer choices

  1. A. Delete completed rollout records after 30 days and reconstruct deployment history from source-control timestamps.
  2. B. Preserve immutable artifact references and correlated build, release, rollout, and audit metadata instead of relying on mutable labels.
  3. C. Use the latest image tag for every deployment because the tag always points to the most recently approved artifact, for images produced by the same approved builder and evaluated at the production supply-chain policy gate.
  4. D. Record only the human-friendly release name because names are sufficient to reproduce any historical artifact.

Correct answer

Preserve immutable artifact references and correlated build, release, rollout, and audit metadata instead of relying on mutable labels.

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

Source: Cloud Deploy releases

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