Google Cloud Certified - Professional Cloud DevOps Engineer : Professional-Cloud-DevOps-Engineer

  • Exam Code: Professional-Cloud-DevOps-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
  • Updated: Jun 01, 2026     Q & A: 208 Questions and Answers

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Topics of Google Professional Cloud DevOps Engineer Exam

Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics:

Applying site reliability engineering principles to a service

  • Toil automation
  • Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
  • Discover SLIs (availability, latency, etc.)
  • 1.2 Manage service life cycle:
  • Agree to consequences of not meeting the error budget
  • Balance change, velocity, and reliability of the service:
  • Construct feedback loops to decide what to build next
  • Define SLOs and understand SLAs

Building and implementing CI/CD pipelines for a service

  • Artifact versioning strategy with Cloud Build, Container Registry
  • CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
  • Design CI/CD pipelines:
  • Configure deployment processes (e.g., approval flows)
  • Deployment strategies with Cloud Build, Spinnaker
  • Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
  • Testing a new version with Spinnaker
  • Immutable artifacts with Container Registry
  • Artifact repositories with Container Registry

Implementing service monitoring strategies

  • Enabling data access logs (e.g., Cloud Audit Logs)
  • Implementing a project-level / org-level export
  • Set ACL to restrict export configuration with IAM, Stackdriver Logging
  • Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
  • Collecting GKE/Kubernetes metrics
  • Collecting metrics from Compute Engine
  • Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
  • Use metric explorer for ad hoc metric analysis
  • Understanding the logging exclusion vs. logging export
  • Manage application logs:
  • Viewing export logs in Cloud Storage and BigQuery
  • Viewing logs in the GCP Console
  • Enabling VPC flow logs
  • Selecting the options for logging export
  • Sending logs to an external logging platform
  • Sending application logs directly to Stackdriver API with Stackdriver Logging
  • Implementing logs-based metrics
  • Using basic vs. advanced logging filters
  • Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
  • Collecting third-party and structured logs with Stackdriver Logging, Fluentd

Optimizing service performance

  • Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
  • Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
  • Utilize Stackdriver to identify cloud resource utilization
  • TCO considerations
  • Develop a plan to optimize areas of greatest cost or lowest utilization
  • identify resource costs
  • Troubleshoot issues with the image/OS
  • Utilize Stackdriver Trace/Profiler to profile performance characteristics
  • Work with committed-use discounts
  • Interpret service mesh telemetry
  • Manage preemptible VMs
  • Identify service performance issues:
  • Consider network pricing
  • Identify resource utilization levels

Managing service incidents

  • Provide regular status updates, internal and external
  • Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
  • Identify probable causes of service failure
  • Coordinate roles and implement communication channels during a service incident:
  • Rotate/hand over roles
  • Record major changes in incident state (When mitigated? When all clear? etc.)
  • Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
  • Identify alternatives to mitigate the issue
  • Handle requests for impact assessment
  • Define roles (incident commander, communication lead, operations lead)
  • Avoid exhaustion/burnout
  • Perform an investigation to isolate the most likely actual cause
  • Scaling response team and delegation
  • Manage stakeholder relationships

Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication, and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.
Topic 2
  • Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI
  • CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.
Topic 3
  • Building and implementing CI
  • CD pipelines for a service: Management and designing of CI
  • CD pipelines, implementation of CI
  • CD pipelines, management of CI
  • CD configuration, and secrets are discussed in this paper. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI
  • CD deployment pipeline.
Topic 4
  • Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, and logging and monitoring access controls.
Topic 5
  • Optimizing the service performance: It delves into the identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

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