Describe the architecture and use cases of Red Hat Ansible Automation Platform.

Install automation controller and private automation hub on individual servers.

Perform initial configuration of automation controller and private automation hub and explore the services' web UIs.

Create new users in the web UI, and explain the different types of user in automation controller.

Create new teams in the automation controller web user interface, assign users to them, and explain the different roles that can be assigned to users.

Create and manage users and groups for private automation hub through its web UI and configure access permissions for users by using groups.

Create a static inventory of managed hosts, using the web UI.

Create a machine credential for inventory hosts to allow automation controller to run jobs on those inventory hosts.

Create a project in automation controller that uses playbooks and other project materials from an existing Git repository.

Create and manage a job template that specifies a project and playbook, an execution environment from a private automation hub, an inventory, and credentials that you can use to launch Red Hat Ansible Automation Platform jobs on managed hosts.

Speed up job execution by using and managing fact caching.

Create a job template survey to help users more easily launch a job with custom variable settings.

Schedule automatic job execution and configure job notifications.

Create a workflow job template to launch a branching chain of jobs based on the success or failure of each job in the workflow sequence.

Create an approval node in a workflow job template that uses notifications to request permission from an administrator for the job to continue, and approve or reject those requests.

Import existing static inventory files managed in a Git repository into automation controller.

Create a dynamic inventory that uses an inventory plug-in to set hosts and host groups.

Create a smart inventory that is dynamically constructed from the other inventories on your automation controller using a filter.

Use Red Hat Certified Ansible Content Collections to configure and maintain Ansible Automation Platform services.

Apply configuration changes to Ansible Automation Platform based on files stored in a Git repository by triggering job execution with webhooks.

Control automation controller by accessing its API.

Describe the low-level components of automation controller, locate and examine relevant log files, control its services, and perform basic troubleshooting.

Back up and restore automation controller and automation hub databases and configuration files.

Send data to the Red Hat Insights for Red Hat Ansible Automation Platform and automation analytics cloud services in order to analyze and improve your use of automation.

Review data in the Red Hat Insights for Red Hat Ansible Automation Platform cloud service in order to automate issue remediation, and to detect and alert you to configuration drift.

Review data analysis provided by the automation analytics cloud service in order to identify issues with your automation infrastructure and automation jobs.

Generate reports based on data analysis provided by the automation analytics cloud service in order to improve your use of automation and to plan for future automation projects.

Design a set of distributed Ansible Automation Platform servers to operate at a large scale and with improved reliability and redundancy.

Distribute execution of Ansible Playbooks from automation controller control or hybrid nodes to remote execution nodes, communicating with them using automation mesh.

Monitor execution of jobs on different execution nodes and maintain and adjust the automation mesh.