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Red Hat Preliminary Exam in Red Hat OpenShift Administration (PE180)

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About Course

Red Hat Preliminary Exam in Red Hat OpenShift Administration (PE180)

 

Exam description

 

The performance-based Red Hat Preliminary Exam in Red Hat OpenShift Administration tests your knowledge in areas of Red Hat OpenShift administration common across a wide range of environments and deployment scenarios. The skills tested in this exam are the foundation for using Red Hat OpenShift Container Platform across all environments. Objectives listed for this exam are based on the most recent Red Hat product version available. Click “Get started” to view all versions of this exam available for purchase.

 

Prerequisites for this exam

 

 

The performance-based Red Hat Preliminary Exam in Red Hat OpenShift Administration tests your knowledge in areas of Red Hat OpenShift administration common across a wide range of environments and deployment scenarios. The skills tested in this exam are the foundation for using Red Hat OpenShift Container Platform across all environments.

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What Will You Learn?

  • Manage OpenShift Container Platform
  • Use the web console to manage and configure an OpenShift cluster
  • Deploy and use the command-line interface to manage and configure an OpenShift cluster
  • Create and delete projects
  • Locate and examine container images
  • Query, format, and filter attributes of Kubernetes resources
  • Import, export, and configure Kubernetes resources
  • Examine resources and cluster status
  • Monitor cluster events and alerts
  • View logs
  • Assess the health of an OpenShift cluster
  • Troubleshoot common container, pod, and cluster events and alerts
  • Use product documentation
  • Deploy applications
  • Deploy applications from images and templates
  • Deploy jobs to perform one-time tasks
  • Manage application deployments
  • Work with replica sets
  • Work with labels and selectors
  • Configure services
  • Expose applications to external access
  • Manage storage for application configuration and data
  • Create and use secrets
  • Create and use configuration maps
  • Provision persistent storage volumes for block and file-based data
  • Use storage classes
  • Manage non-shared storage with stateful sets
  • Configure applications for reliability
  • Configure and use health probes
  • Reserve and limit application compute capacity
  • Scale applications to meet increased demand
  • Manage application updates
  • Identify images using tags and digests
  • Roll back failed deployments
  • Manage image streams
  • Use triggers to manage images
  • As with all Red Hat performance-based exams, configurations must persist after reboot without intervention.
  • Red Hat reserves the right to add, modify, and remove objectives. Such changes will be made public in advance through revisions to this document.

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