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What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam

• Passing score: 80%
• Format: Multiple choices, multiple select
• Language: English
• Number of Questions: 50-60
• Length of Examination: 120 minutes

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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.