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The Google Professional Cloud DevOps Engineer exam is taken by the specialists who want to obtain international certification and get validated as professional engineers who can manage Cloud DevOps features.

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.

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.

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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