Passing exam with Professional-Cloud-DevOps-Engineer latest training materials

Prepare and pass exam with our Google Professional-Cloud-DevOps-Engineer training material, here you will achieve your dream easily With TrainingQuiz!

Updated: Jun 08, 2026

No. of Questions: 208 Questions & Answers with Testing Engine

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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

  • Identify probable causes of service failure
  • Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
  • Provide regular status updates, internal and external
  • Handle requests for impact assessment
  • Identify alternatives to mitigate the issue
  • 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
  • Coordinate roles and implement communication channels during a service incident:
  • Avoid exhaustion/burnout
  • Scaling response team and delegation
  • Perform an investigation to isolate the most likely actual cause
  • Manage stakeholder relationships
  • Define roles (incident commander, communication lead, operations lead)
  • Rotate/hand over roles

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

Google Professional Cloud DevOps Engineer Certified Professional salary

The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:

  • United State: 151,00 USD
  • England: 130,500 POUND
  • India: 25,00,000 INR
  • Europe: 144,000 EURO

The Google Professional Cloud DevOps Engineer exam is taken by the specialists who want to obtain international certification and get validated as professional engineers who can manage Cloud DevOps features.

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