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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.

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Work with committed-use discounts
• Utilize Stackdriver to identify cloud resource utilization
• Develop a plan to optimize areas of greatest cost or lowest utilization
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• 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)
• Consider network pricing
• Interpret service mesh telemetry
• TCO considerations
• Manage preemptible VMs
• identify resource costs
• Identify service performance issues:
• Identify resource utilization levels
• Troubleshoot issues with the image/OS

Managing service incidents

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

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

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