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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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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