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.

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.

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

Building and implementing CI/CD pipelines for a service

• Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
• Testing a new version with Spinnaker
• Design CI/CD pipelines:
• Artifact versioning strategy with Cloud Build, Container Registry
• 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
• Artifact repositories with Container Registry
• Deployment strategies with Cloud Build, Spinnaker

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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Prerequisites

The Google Professional Cloud DevOps Engineer certification exam is designed for the Application Developers and Programmers who want to learn how to design, develop, and deploy Cloud applications. This test has no formal prerequisites. However, the individuals are recommended to have at least 3 years of industry experience, involving 1 or more years of experience with managing solutions on Google Cloud Platform.

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