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

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

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Exam Details

The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.

If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.

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What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam

• Language: English
• Length of Examination: 120 minutes
• Passing score: 80%
• Format: Multiple choices, multiple select
• Number of Questions: 50-60

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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