Google Professional-Cloud-DevOps-Engineer-JPN exam dumps - Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)

  • Exam Code: Professional-Cloud-DevOps-Engineer-JPN
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)
  • Updated: Jun 22, 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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

  • Perform an investigation to isolate the most likely actual cause
  • Rotate/hand over roles
  • Provide regular status updates, internal and external
  • Identify alternatives to mitigate the issue
  • Scaling response team and delegation
  • Define roles (incident commander, communication lead, operations lead)
  • Avoid exhaustion/burnout
  • Record major changes in incident state (When mitigated? When all clear? etc.)
  • 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:
  • Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
  • Manage stakeholder relationships
  • Handle requests for impact assessment

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

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The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.

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