Professional Cloud DevOps Engineer Practice Test
18 original questions · Practice mode with instant explanations
Question 1 of 18
0 answered · 18 remaining
DevOpsmedium
A team wants to expose a risky change to a small share of real production traffic and automatically roll back if error rates rise. Which deployment strategy is this?
Select an answer to see the explanation.
What this test covers
One concept per question, across the topics Professional Cloud DevOps Engineer draws on.
- Canary releases validate against real traffic before full rollout
- Workload Identity removes long-lived credentials from the cluster
- An error budget is a pre-agreed policy that governs release decisions
- Build once, promote the same artefact through every environment
- Post-mortems improve systems, not accountability records
- Pending pods indicate a scheduling problem, almost always insufficient capacity
- Traces show where time is spent across service boundaries
- Log-based metrics turn log content into numeric time series you can alert on
- Safe rollouts require readiness signalling and graceful connection draining
- Alert on symptoms users experience, not on causes that may be harmless
- Burn-rate alerting scales urgency to how quickly the budget is being consumed
- Cloud Run concurrency directly determines how many instances a given request rate needs
- Autopilot removes node management in exchange for reduced configurability
- Namespaces alone provide no network isolation; network policies do
- Baking a custom image minimises startup time and makes instances reproducible
- The four golden signals describe service health from the user's perspective
- Pod scaling and node scaling are separate mechanisms
- Enforce at both build and admission so the control cannot be bypassed
These questions are written by GCP Prep to test understanding of publicly documented concepts. They are not real exam questions and are not a prediction of what any exam contains.
Related Certifications
Related Guides
- How to Prepare for a Cloud CertificationA practical preparation method: reading the exam guide properly, building hands-on habits, using practice questions well, and knowing when to book.
- A Cloud Certification Study PlanAn eight-week study plan for Associate Cloud Engineer, with weekly topics, hands-on builds and checkpoints, adaptable to other exams.
Related Cloud Topics
- CI/CD and Build AutomationHow source code becomes a running service safely: pipelines, artefacts, quality gates and progressive rollout strategies.
- Monitoring, Logging and ObservabilityMetrics, logs and traces; designing alerts people actually act on; and the SLO vocabulary that reliability work is built around.
- Google Kubernetes Engine (GKE)Managed Kubernetes: pods, deployments, services, autoscaling and the operational model that comes with a cluster.