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Google Professional Cloud DevOps Engineer Certification Path

The Google Professional Cloud DevOps Engineer Certification is the highest level of certification mainly focusing on the Solution Architect Professional. There is no prerequisite for this exam but still, it would be best to follow some sequence to prove immense knowledge as a Google Professional Cloud DevOps Engineer.

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

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

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

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

• Artifact repositories with Container Registry
• Testing a new version with Spinnaker
• 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
• Deployment strategies with Cloud Build, Spinnaker
• Immutable artifacts with Container Registry
• Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
• Artifact versioning strategy with Cloud Build, Container Registry

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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