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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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

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