User1: You should assign the Reader and Data Access role to User1. This role grants read access to Azure resources and data, including the data in any storage account1. This role is suitable for User1's task of viewing the data in any storage account, and it follows the principle of least privilege by not granting any write or delete permissions.
User2: You should assign the Storage Account Contributor role to User2. This role grants full access to manage storage accounts and their data, including the ability to assign roles in Azure RBAC2. This role is suitable for User2's task of assigning users the Contributor role for storage accounts, and it follows the principle of least privilege by not granting access to other types of resources.

Explanation
Box 1: Remove the public IP address from VM1
If the Public IP on VM1 is set to Dynamic, that means it is a Public IP with Basic SKU because Public IPs with Standard SKU have Static assignments by default, that cannot be changed. We cannot associate Basic SKUs IPs with Standard SKUs LBs. One cannot create a backend SLB pool if the VM to be associated has a Public IP. For Private IP it doesn't matter weather it is dynamic or static, still we can add the such VM into the SLB backend pool.
Box 2: Create and configure an NSG
Standard Load Balancer is built on the zero trust network security model at its core. Standard Load Balancer secure by default and is part of your virtual network. The virtual network is a private and isolated network.
This means Standard Load Balancers and Standard Public IP addresses are closed to inbound flows unless opened by Network Security Groups. NSGs are used to explicitly permit allowed traffic. If you do not have an NSG on a subnet or NIC of your virtual machine resource, traffic is not allowed to reach this resource. To learn more about NSGs and how to apply them for your scenario, see Network Security Groups. Basic Load Balancer is open to the internet by default.
A screenshot of a computer Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/load-balancer/quickstart-load-balancer-standard-public-portal
https://docs.microsoft.com/en-us/azure/load-balancer/load-balancer-overview

Explanation

Explanation
AKS clusters can scale in one of two ways: - The cluster autoscaler watches for pods that can't be scheduled on nodes because of resource constraints. The cluster then automatically increases the number of nodes. - The horizontal pod autoscaler uses the Metrics Server in a Kubernetes cluster to monitor the resource demand of pods. If an application needs more resources, the number of pods is automatically increased to meet the demand. Reference: https://docs.microsoft.com/en-us/azure/aks/cluster-autoscaler

Explanation
https://learn.microsoft.com/en-us/azure/storage/blobs/encryption-scope-overview#how-encryption-scopes-work