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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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