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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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

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.

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

Conclusion

Passing the Google Professional Cloud DevOps Engineer evaluation is not impossible as long as you combine different learning solutions. While the vendor offers different preparation resources for the exam-takers who want to get the passing score without stress, you shouldn’t stop here. You can also go as far as to explore the guides available on Amazon and enhance your skills for becoming a certified Cloud DevOps Engineer.

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