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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

  • 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:
  • Discover SLIs (availability, latency, etc.)
  • Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
  • Toil automation
  • Define SLOs and understand SLAs

Building and implementing CI/CD pipelines for a service

  • Immutable artifacts with Container Registry
  • Testing a new version with 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
  • Design CI/CD pipelines:
  • CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
  • Deployment strategies with Cloud Build, Spinnaker
  • Configure deployment processes (e.g., approval flows)

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.

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

TopicDetails
Topic 1
  • Optimizing the service performance: It delves into the identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.
Topic 2
  • Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication, and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.
Topic 3
  • Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI
  • CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.
Topic 4
  • Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, and logging and monitoring access controls.
Topic 5
  • Building and implementing CI
  • CD pipelines for a service: Management and designing of CI
  • CD pipelines, implementation of CI
  • CD pipelines, management of CI
  • CD configuration, and secrets are discussed in this paper. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI
  • CD deployment pipeline.

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

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.

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