Difficulty in writing the Google Professional Cloud DevOps Engineer Exam

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Domains Tested in Final Evaluation

The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:

• Implementing and building CI/CD service pipelines;
• Coordinating teams to identify and manage incidents related to service development.
• Checking and implementing strategies related to service monitoring;
• Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
• Identifying issues related to service performance and implementing solutions to optimize it;

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

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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

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

Building and implementing CI/CD pipelines for a service

• Immutable artifacts with Container Registry
• Configure deployment processes (e.g., approval flows)
• Deployment strategies with Cloud Build, Spinnaker
• Artifact repositories with Container Registry
• 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
• Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
• Artifact versioning strategy with Cloud Build, Container Registry

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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.