Difficulty in writing the Google Professional Cloud DevOps Engineer Exam

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

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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

There are so many benefits when you get qualified by the Professional-Cloud-DevOps-Engineer certification. Expand your knowledge and your potential earning power to command a higher salary by earning the Professional-Cloud-DevOps-Engineer best study material. Now, let’s prepare for the exam test with the Professional-Cloud-DevOps-Engineer training pdf offered by RealValidExam. Professional-Cloud-DevOps-Engineer online test engine is selected by many candidates because of its intelligence and interactive features. You can use the Professional-Cloud-DevOps-Engineer online test off-line, while you should run it in the network environment.

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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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:

• 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.

• 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.

• 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.

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