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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.

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

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

Building and implementing CI/CD pipelines for a service

• Testing a new version with Spinnaker
• 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
• Design CI/CD pipelines:
• Artifact repositories with Container Registry
• Artifact versioning strategy with Cloud Build, Container Registry
• Configure deployment processes (e.g., approval flows)
• Immutable artifacts with Container Registry

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

Google Professional-Cloud-DevOps-Engineer日本語 Exam Syllabus Topics: