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How to book Google Professional Cloud DevOps Engineer Exams

The registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.

• Step 1: Visit the Google Cloud Webassessor Website
• Step 2: Sign-in or sign up to your Google Cloud Webassessor account
• Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
• Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.

After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.

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 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.

• 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.

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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