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

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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.

How to study the Google Professional Cloud DevOps Engineer Exam

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