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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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

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