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.)
• Balance change, velocity, and reliability of the service:
• Agree to consequences of not meeting the error budget
• Construct feedback loops to decide what to build next
• Toil automation
• 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:

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

• Manage preemptible VMs
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• Identify resource utilization levels
• Consider network pricing
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• Utilize Stackdriver to identify cloud resource utilization
• TCO considerations
• 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)
• Troubleshoot issues with the image/OS
• identify resource costs
• Interpret service mesh telemetry
• Identify service performance issues:
• Work with committed-use discounts

Managing service incidents

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

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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.

• 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.

• 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.

• 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.

• 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.

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

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

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