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

Professional-Cloud-DevOps-Engineer real exams

Exam Code: Professional-Cloud-DevOps-Engineer

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

Updated: Sep 07, 2025

Q & A: 200 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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.

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