Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

• Application of Site Reliability Engineering Principles to Services

  This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

• Building & Implementation of CI/CD Pipelines for Services

  The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

• Implementation of Strategies for Service Monitoring

  Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.

• Management of Service Incidents

  To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.

• Optimization of Service Performance

  Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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.

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