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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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