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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.

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Interpret service mesh telemetry
• Utilize Stackdriver to identify cloud resource utilization
• 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)
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• Work with committed-use discounts
• Identify service performance issues:
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• TCO considerations
• identify resource costs
• Identify resource utilization levels
• Troubleshoot issues with the image/OS
• Manage preemptible VMs
• Consider network pricing

Managing service incidents

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

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

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How much Google Professional Cloud DevOps Engineer Exam cost

Google Professional Cloud DevOps Engineer exam cost is USD 200, for more information related to the Google Professional Cloud DevOps Engineer exam, please visit Google Website. Additional costs of Professional Cloud DevOps Engineer exam dumps pdf and Professional Cloud DevOps Engineer practice test are not included in this price.

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