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.

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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Interpret service mesh telemetry
• Consider network pricing
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• Identify resource utilization levels
• TCO considerations
• Utilize Stackdriver to identify cloud resource utilization
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• Develop a plan to optimize areas of greatest cost or lowest utilization
• Manage preemptible VMs
• Identify service performance issues:
• identify resource costs
• 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)

Managing service incidents

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

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.

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

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