An application team wants faster releases and starts an initiative to automate the entire database and application deployments.
The current manual process involves:
Creating virtual machines to host the databases and applications
Allocate right amount of storage for the database and applications
Deploy database software and create database
Schedule backup and recovery process for the database
How can application releases be repeatedly deployed in the least amount of time?
A company has a business-critical VM. The VM Utilization of CPU and memory differs from time to time, but can never be allowed to run out of resources. The administrator also wants to make sure that the VM is not over provisioned when not needed.
The administrator determines these requirements that have been validated and automated in a test environment should also apply for the production environment:
VCPU needs to be added when CPU Utilization been over 80% for 15 minutes.
Memory needs to be increased by 4 GB when utilization reaches 80%.
Return of over-allocated resources must not affect other business applications.
What can the administrator do with the least amount of effort to make sure the VM is always performant and returns resources when not required?
An administrator manages two Nutanix clusters: Cluster01 and Cluster02 and has needs to automate similar workload types using these images that are located on Cluster01:
The administrator needs to deploy ImageA and ImageC within the Cluster02 environment.
How this can be achieved?
What are two valid trigger types available for executing Playbooks? (Choose two.)
Refer to the exhibit.
Saving the Calm Blueprint gives the validation error for VMware Blueprints shown in the exhibit.
What could be the cause of the error?
An administrator has been tasked with creating a multicloud, three-tier application using Calm. The application needs to consist of:
A MongoDB backend database
An NGINX webserver
The administrator has access to an AWS account, as well as a locally hosted Nutanix cluster. The three parts of the application should be fully redundant, and be able to tolerate either a cloud provider outage, or a local Nutanix cluster outage.
What is the most appropriate solution the administrator should choose in order to meet the requirements?