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

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

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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.