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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:
- India: 25,00,000 INR
- England: 130,500 POUND
- United State: 151,00 USD
- Europe: 144,000 EURO
Reference: https://cloud.google.com/certification/cloud-devops-engineer
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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
- Define SLOs and understand SLAs
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Balance change, velocity, and reliability of the service:
- Toil automation
- Discover SLIs (availability, latency, etc.)
- Agree to consequences of not meeting the error budget
- Construct feedback loops to decide what to build next
- 1.2 Manage service life cycle:
Building and implementing CI/CD pipelines for a service
- CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
- Deployment strategies with Cloud Build, Spinnaker
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Testing a new version with Spinnaker
- Artifact repositories with Container Registry
- Immutable artifacts with Container Registry
- Artifact versioning strategy with Cloud Build, Container Registry
- Configure deployment processes (e.g., approval flows)
- Design CI/CD pipelines:
Implementing service monitoring strategies
- Using basic vs. advanced logging filters
- Understanding the logging exclusion vs. logging export
- Collecting metrics from Compute Engine
- Set ACL to restrict export configuration with IAM, Stackdriver Logging
- Collecting GKE/Kubernetes metrics
- Selecting the options for logging export
- Viewing export logs in Cloud Storage and BigQuery
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Enabling VPC flow logs
- Viewing logs in the GCP Console
- Enabling data access logs (e.g., Cloud Audit Logs)
- Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
- Manage application logs:
- Implementing a project-level / org-level export
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Use metric explorer for ad hoc metric analysis
- Sending logs to an external logging platform
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Implementing logs-based metrics
- 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)
- Identify resource utilization levels
- Troubleshoot issues with the image/OS
- Interpret service mesh telemetry
- identify resource costs
- Manage preemptible VMs
- Identify service performance issues:
- TCO considerations
- Consider network pricing
- Utilize Stackdriver to identify cloud resource utilization
- Utilize Stackdriver Trace/Profiler to profile performance characteristics
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Work with committed-use discounts
- Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
Managing service incidents
- Identify probable causes of service failure
- Provide regular status updates, internal and external
- Handle requests for impact assessment
- Rotate/hand over roles
- Define roles (incident commander, communication lead, operations lead)
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
- Manage stakeholder relationships
- Coordinate roles and implement communication channels during a service incident:
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Scaling response team and delegation
- Identify alternatives to mitigate the issue
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Avoid exhaustion/burnout
- Perform an investigation to isolate the most likely actual cause
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