Domains Tested in Final Evaluation

The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:

• Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
• Coordinating teams to identify and manage incidents related to service development.
• Checking and implementing strategies related to service monitoring;
• Identifying issues related to service performance and implementing solutions to optimize it;
• Implementing and building CI/CD service pipelines;

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam

• Number of Questions: 50-60
• Passing score: 80%
• Language: English
• Format: Multiple choices, multiple select
• Length of Examination: 120 minutes

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

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.

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