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Career Prospects

The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.

Preparation Resources for Certification Test

Passing this Google exam is possible from the first attempt if you combine different preparation resources such as the ones offered by the vendor and the books available on Amazon. In case you’re on the lookout for the most effective revision materials, here’s our choice:

• Google Cloud DevOps Engineer Learning Path

  The vendor has developed a comprehensive learning path for candidates who want to pass the Professional Cloud DevOps Engineer exam. It includes several courses that will take the applicants through all the steps necessary to validate the necessary abilities to get the passing score from the first attempt. In particular, this learning kit includes the following training sessions:

  • The Google Cloud Fundamentals: Core Infrastructure class focuses on helping the candidates learn about storage and computing services which are included in Google Cloud Pack. Therefore, the exam-takers will learn how to use the BigQuery, App Engine, Cloud SQL and Storage, and Google Kubernetes Engine features.
  • The training dedicated to the development of a Google SRE culture helps the candidates gain advanced skills in providing production support and minimizing the gap between operations and development. During this course, applicants will learn the secrets of Site Reliability Engineering and how they can benefit from creating a Google SRE culture.
  • The Architecting with Google Cloud: Design and Process class helps the test-takers learn how to deploy Google Cloud features in a cost-effective and performant way.
  • The final training session included in this learning path is dedicated to monitoring, logging, and observability in Google Cloud. It teaches the candidates how to troubleshoot and improve Google Cloud infrastructure performance.

  Once the candidates go through the courses mentioned above, they will gain several skill badges that consolidate their skills in DevOps engineering. These badges are as follows:

  • The skill badge that validates the ability to use Google Cloud for performing foundational infrastructure tasks. It helps the candidates learn how to manage important application services such as Cloud Functions or Stackdriver.
  • The second badge is related to the implementation of DevOps features in Google Cloud. In particular, it will help the candidates improve their software delivery capacity with the help of Google Cloud and achieve a higher speed, availability, and stability.
  • The last badge helps the candidates understand how to use the Google Cloud Operations Suite for monitoring and logging. Thus, the applicants will learn how to use Google Cloud’s ins and outs for generating healthier and improved applications.

  Without doubt, a candidate who goes through this learning process provided by Google will have significantly higher chances to get certified in one go.

• Google Cloud Professional Cloud DevOps Engineer Exam – All in One Guide: Get Certified Efficiently in Google Cloud! (Google Cloud Certification Series Book 7)

  This book is available on Amazon in Kindle format and has been published by Joseph Holbrook. Also, the candidates can buy it for almost $12. This guide follows all the topics tested in the certification exam and helps the applicants sharpen their skills in managing Google Cloud DevOps Engineer features. Besides, it helps entrants to fully prepare for the designation test as it includes more than 100 questions and detailed answers for each of them. Thus, the exam-takers will get used to the test structure and difficulty level. Plus, anyone who buys this guide will receive free access to additional learning resources that will consolidate their knowledge of Google Cloud apps and features.

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

• Define SLOs and understand SLAs
• 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:
• Toil automation
• Construct feedback loops to decide what to build next
• Discover SLIs (availability, latency, etc.)

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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

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.