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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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