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Audience for This Certification Exam

The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Identify resource utilization levels
• Work with committed-use discounts
• TCO considerations
• Troubleshoot issues with the image/OS
• Interpret service mesh telemetry
• Utilize Stackdriver to identify cloud resource utilization
• identify resource costs
• 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 service performance issues:
• Consider network pricing
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• Manage preemptible VMs

Managing service incidents

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

90 to 100% passing rate

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