Who should take the Google Professional Cloud DevOps Engineer exam

Individuals should pursue the Professional Cloud DevOps Engineer practice exam if they want to demonstrate their expertise and ability to design plan, and prototype a GCP DevOps, implement a GCP Virtual Private Cloud (VPC), implement DevOps security. It's perfect for DevOps engineers, systems administrators or operations team members, or simply any professional who wants in on this specific area of IT and cloud.

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

• 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.)
• Avoid exhaustion/burnout
• Coordinate roles and implement communication channels during a service incident:
• Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
• Handle requests for impact assessment
• Provide regular status updates, internal and external
• Identify probable causes of service failure
• Scaling response team and delegation
• Identify alternatives to mitigate the issue
• Perform an investigation to isolate the most likely actual cause
• Rotate/hand over roles
• Define roles (incident commander, communication lead, operations lead)
• Manage stakeholder relationships

Google Professional Cloud DevOps Engineer Certification Path

The Google Professional Cloud DevOps Engineer Certification is the highest level of certification mainly focusing on the Solution Architect Professional. There is no prerequisite for this exam but still, it would be best to follow some sequence to prove immense knowledge as a Google Professional Cloud DevOps Engineer.

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

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