Professional Cloud DevOps Engineer (GCP) Certification Q&A

Professional Cloud DevOps Engineer (GCP) Certification Q&A

190+ Unique simulator Questions based mostly on Professional Cloud DevOps Engineer (GCP) Certification Q&A to assessment your Preparations.

This program gives the abilities you should advance your profession as a knowledge engineer and gives coaching to assist your preparation for the industry-recognized Google Cloud Professional DevOps Engineer certification. 87% of Google Cloud licensed customers really feel extra assured of their cloud abilities.

You’ll even have the chance to follow key job abilities utilizing Google Cloud to construct software program supply pipelines, deploy and monitor providers, and handle and learn from incidents. You will learn to use SRE ideas to a service, methods for monitoring, troubleshooting, and enhancing infrastructure and utility efficiency amongst different issues.

About this certification examination

• Length: Two hours

• Registration price: $200 (plus tax the place relevant)

• Language: English

• Exam format: Multiple selection and a number of choose       

Certification examination information

1. Applying website reliability engineering ideas to a service

•    

       1.1 Balance change, velocity, and reliability of the service:   

  •        Discover SLIs (availability, latency, and many others.)     

  •        Define SLOs and perceive SLAs     

  •        Agree to penalties of not assembly the error finances     

  •        Construct suggestions loops to determine what to construct subsequent     

  •        Toil automation     

       1.2 Manage service life cycle:   

  •        Manage a service (e.g., introduce a brand new service, deploy it, preserve and retire it)     

  •        Plan for capability (e.g., quotas and limits administration)     

       1.3 Ensure wholesome communication and collaboration for operations:   

  •        Prevent burnout (e.g., arrange automation processes to stop burnout)     

  •        Foster a studying tradition     

  •        Foster a tradition of blamelessness     

2. Building and implementing CI/CD pipelines for a service

•    

       2.1 Design CI/CD pipelines:   

  •        Immutable artifacts with Container Registry     

  •        Artifact repositories with Container Registry     

  •        Deployment methods with Cloud Build, Spinnaker     

  •        Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes     

  •        Artifact versioning technique with Cloud Build, Container Registry     

  •        CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub     

  •        Testing a brand new model with Spinnaker     

  •        Configure deployment processes (e.g., approval flows)     

       2.2 Implement CI/CD pipelines:   

  •          CI with Cloud Build       

  •          CD with Cloud Build       

  •          Open supply tooling (e.g. Jenkins, Spinnaker, GitLab, Concourse)       

  •          Auditing and tracing of deployments (e.g., CSR, Cloud Build, Cloud Audit Logs)       

         2.3 Manage configuration and secrets and techniques:     

  •          Secure storage strategies       

  •          Secret rotation and config modifications       

         2.4 Manage infrastructure as code:     

  •          Terraform / Cloud Deployment Manager       

  •          Infrastructure code versioning       

  •          Make infrastructure modifications safer       

  •          Immutable structure       

       2.5 Deploy CI/CD tooling:   

  •        Centralized instruments vs. a number of instruments (single vs multi-tenant)     

  •        Security of CI/CD tooling     

       2.6 Manage totally different growth environments (e.g., staging, manufacturing, and many others.):   

  •        Decide on the variety of environments and their goal     

  •        Create environments dynamically per function department with GKE, Cloud Deployment Manager     

  •        Local growth environments with Docker, Cloud Code, Skaffold     

       2.7 Secure the deployment pipeline:   

  •        Vulnerability evaluation with Container Registry     

  •        Binary Authorization     

  •        IAM insurance policies per atmosphere     

3. Implementing service monitoring methods

•    3.1 Manage utility logs:   

  •        Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd     

  •        Collecting third-party and structured logs with Stackdriver Logging, Fluentd     

  •        Sending utility logs on to Stackdriver API with Stackdriver Logging     

       3.2 Manage utility metrics with Stackdriver Monitoring:   

  •        Collecting metrics from Compute Engine     

  •        Collecting GKE/Kubernetes metrics     

  •        Use metric explorer for advert hoc metric evaluation     

       3.3 Manage Stackdriver Monitoring platform:   

  •        Creating a monitoring dashboard     

  •        Filtering and sharing dashboards     

  •        Configure third-party alerting in Stackdriver Monitoring (i.e., PagerDuty, Slack, and many others.)     

  •        Define alerting insurance policies based mostly on SLIs with Stackdriver Monitoring     

  •        Automate alerting coverage definition with Cloud DM or Terraform     

  •        Implementing SLO monitoring and alerting with Stackdriver Monitoring     

  •        Understand Stackdriver Monitoring integrations (e.g., Grafana, BigQuery)     

  •        Using SIEM instruments to investigate audit/move logs (e.g., Splunk, Datadog)     

  •        Design Stackdriver Workspace technique     

       3.4 Manage Stackdriver Logging platform:   

  •        Enabling information entry logs (e.g., Cloud Audit Logs)     

  •        Enabling VPC move logs     

  •        Viewing logs within the GCP Console     

  •        Using fundamental vs. superior logging filters     

  •        Implementing logs-based metrics     

  •        Understanding the logging exclusion vs. logging export     

  •        Selecting the choices for logging export     

  •        Implementing a project-level / org-level export     

  •        Viewing export logs in Cloud Storage and BigQuery     

  •        Sending logs to an exterior logging platform     

       3.5 Implement logging and monitoring entry controls:   

  •        Set ACL to limit entry to audit logs with IAM, Stackdriver Logging     

  •        Set ACL to limit export configuration with IAM, Stackdriver Logging     

  •        Set ACL to permit metric writing for customized metrics with IAM, Stackdriver Monitoring     

4. Optimizing service efficiency

•    

       4.1 Identify service efficiency points:   

  •        Evaluate and perceive person affect (Stackdriver Service Monitoring for App Engine, Istio)     

  •        Utilize Stackdriver to establish cloud useful resource utilization     

  •        Utilize Stackdriver Trace/Profiler to profile efficiency traits     

  •        Interpret service mesh telemetry     

  •        Troubleshoot points with the picture/OS     

  •        Troubleshoot community points (e.g., VPC move logs, firewall logs, latency, view community       particulars)     

       4.2 Debug utility code:   

  •        Application instrumentation     

  •        Stackdriver Debugger     

  •        Stackdriver Logging     

  •        Stackdriver Trace     

  •        Debugging distributed purposes     

  •        App Engine native growth server     

  •        Stackdriver Error Reporting     

  •        Stackdriver Profiler     

       4.3 Optimize useful resource utilization:   

  •        Identify useful resource prices     

  •        Identify useful resource utilization ranges     

  •        Develop plan to optimize areas of biggest value or lowest utilization     

  •        Manage preemptible VMs     

  •        Work with committed-use reductions     

  •        TCO issues     

  •        Consider community pricing     

5. Managing service incidents

     5.1 Coordinate roles and implement communication channels throughout a service incident:   

•        Define roles (incident commander, communication lead, operations lead)     

•        Handle requests for affect evaluation     

•        Provide common standing updates, inside and exterior     

•        Record main modifications in incident state (When mitigated? When all clear? and many others.)     

•        Establish communications channels (e mail, IRC, Hangouts, Slack, cellphone, and many others.)     

•        Scaling response workforce and delegation     

•        Avoid exhaustion / burnout     

•        Rotate / hand over roles     

•        Manage stakeholder relationships     

     5.2 Investigate incident signs impacting customers:   

•        Identify possible causes of service failure     

•        Evaluate signs towards possible causes; rank chance of trigger based mostly on noticed       habits     

•        Perform investigation to isolate most definitely precise trigger     

•        Identify options to mitigate situation     

     5.3 Mitigate incident affect on customers:   

•        Roll again launch     

•        Drain / redirect site visitors     

•        Turn off experiment     

•        Add capability     

     5.4 Resolve points (e.g., Cloud Build, Jenkins):   

•        Code change / repair bug     

•        Verify repair     

•        Declare all-clear     

     5.5 Document situation in a postmortem:   

•        Document root causes     

•        Create and prioritize motion objects     

•        Communicate postmortem to stakeholders     

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Who this course is for:

• Students and consultants