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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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

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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.

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Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.