System Health Display is a dashboard that shows the status and performance of the SOAR processes and components, such as the automation service, the playbook daemon, the DECIDED process, and the REST API. Some of the metrics that can be seen from the System Health Display are:
*Memory Usage: The percentage of memory used by the system and the processes.
*Disk Usage: The percentage of disk space used by the system and the processes.
*Load Average: The average number of processes in the run queue or waiting for disk I/O over a period of time.
Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display. Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display") The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system. These typically include:
*B: Memory Usage - This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.
*C: Disk Usage - This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.
*D: Load Average - This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system's performance and in identifying potential bottlenecks or issues.
Playbook Usage is generally not a metric displayed on the System Health page; instead, it's more related to the usage analytics of playbooks rather than system health metrics.

Explanation
The default embedded search engine used by Phantom is the Embedded Elastic search engine. This engine provides fast and scalable search capabilities for Phantom data. The other options are not valid search engines for Phantom. See [Search engine configuration] for more information.

Explanation
A user can evaluate user prompt results by adding a decision block after the user prompt action block. The decision block can use the action_result.summary.response parameter to check the user's input and branch the playbook execution accordingly. Setting the action_result.summary.status or action_result.summary.response to required does not affect the evaluation of user prompt results. Setting the user prompt to reinvoke if it times out does not evaluate the user prompt results, but only repeats the prompt. Reference, page 16.