Nutanix Updated NCP-MCI-6.5 Exam Questions and Answers by haroon

"Playbook allows you to define a trigger that results in the execution of an action or a series of actions. A trigger may be an event that occurs in the system, such as an alert or a request made by you. The resultant actions that you configure can be VM actions, communication actions, alert actions, or report actions." https://portal.nutanix.com/page/documents/details?targetId=Intelligent-Operations-Guide-vpc_2023_3:ssp-report-management-ssp-pc-c.html#:~:text=The%20environment%20summary%20report%20provides,is%20registered%20to%20Prism%20Central.

https://portal.nutanix.com/page/documents/details?targetId=Prism-Central-Guide-Prism-v5_10:mul-pc-install-scratch-c.html

 According to the Nutanix Support & Insights web search result4, Prism Central can be installed manually on an AHV cluster by using three disk images: boot, home, and data. These disk images must be downloaded from the portal for the Prism Central VM and uploaded to an image service on the AHV cluster. The boot image contains the operating system and kernel for Prism Central. The home image contains the configuration files and logs for Prism Central. The data image contains the database and application files for Prism Central.

According to the web search results, one recommended configuration change to improve throughput for a custom backup application that requires a 2TB disk and runs on Windows is to span the 2TB disk across four vDisks. Spanning is a technique that allows you to create a single logical disk from multiple physical disks. Spanning can improve throughput by distributing I/O requests across multiple disks and reducing contention5. To span a disk across four vDisks, the administrator should create four vDisks of equal size (500 GB each) and attach them to the VM. Then, in Windows Disk Management, create a spanned volume from the four vDisks and format it as NTFS6.

Nutanix leverages a method for determining the bands called ‘Generalized Extreme Studentized Deviate Test’. A simple way to think about this is similar to a confidence interval where the values are between the lower and upper limits established by the algorithm.

Another web source3 shows an example of how anomaly detection works in Nutanix Prism Central. In the video, you can see that when the observed value of a metric deviates significantly from the predicted value based on historical data, an anomaly event is triggered and displayed on a chart.

Therefore, by comparing the observed values with the predicted values based on historical data, Nutanix anomaly detection can identify abnormal behavior and alert you accordingly.