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The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.

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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Consider network pricing
• Work with committed-use discounts
• TCO considerations
• Utilize Stackdriver to identify cloud resource utilization
• Develop a plan to optimize areas of greatest cost or lowest utilization
• Troubleshoot issues with the image/OS
• Interpret service mesh telemetry
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• 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
• Identify resource utilization levels
• Manage preemptible VMs
• identify resource costs

Managing service incidents

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

For more info visit:

CCIE to Google Cloud DevOps Engineer Google cloud DevOps engineer practice exam Google Cloud documentation Google Cloud solutions

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

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