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Introduction to Google Professional Cloud DevOps Engineer Exam

Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.

After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.

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

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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