Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版) - Professional-Cloud-DevOps-Engineer日本語

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.

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