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

Audience for This Certification Exam

The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Work with committed-use discounts
• Manage preemptible VMs
• Utilize Stackdriver to identify cloud resource utilization
• Consider network pricing
• Identify service performance issues:
• Identify resource utilization levels
• 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)
• identify resource costs
• Troubleshoot issues with the image/OS
• Interpret service mesh telemetry
• TCO considerations
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• Develop a plan to optimize areas of greatest cost or lowest utilization

Managing service incidents

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

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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:

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

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