Vm_data_final.csv -

import pandas as pd # Draft content for vm_data_final.CSV data = { "VM_Name": ["WEB-PROD-01", "APP-PROD-01", "DB-PROD-01", "WEB-STG-01", "JUMP-SVR-01"], "OS_Type": ["Linux", "Windows", "Linux", "Linux", "Windows"], "OS_Version": ["Ubuntu 22.04", "Windows Server 2022", "RHEL 9.0", "Ubuntu 22.04", "Windows Server 2019"], "vCPU": [4, 8, 16, 2, 2], "RAM_GB": [8, 16, 64, 4, 4], "Storage_GB": [100, 200, 1000, 50, 80], "IP_Address": ["10.0.1.10", "10.0.2.10", "10.0.3.10", "10.0.1.50", "10.0.0.5"], "Environment": ["Production", "Production", "Production", "Staging", "Management"], "Status": ["Running", "Running", "Running", "Stopped", "Running"] } df = pd.DataFrame(data) csv_content = df.to_csv(index=False) print(csv_content) Use code with caution. Copied to clipboard

: Categorization (e.g., Prod, Dev, Staging) to prioritize maintenance or migration. vm_data_final.CSV

VM_Name,OS_Type,OS_Version,vCPU,RAM_GB,Storage_GB,IP_Address,Environment,Status WEB-PROD-01,Linux,Ubuntu 22.04,4,8,100,10.0.1.10,Production,Running APP-PROD-01,Windows,Windows Server 2022,8,16,200,10.0.2.10,Production,Running DB-PROD-01,Linux,RHEL 9.0,16,64,1000,10.0.3.10,Production,Running WEB-STG-01,Linux,Ubuntu 22.04,2,4,50,10.0.1.50,Staging,Stopped JUMP-SVR-01,Windows,Windows Server 2019,2,4,80,10.0.0.5,Management,Running Use code with caution. Copied to clipboard Column Definitions : Unique identifier for the virtual machine. import pandas as pd # Draft content for vm_data_final

: Core compute metrics for resource allocation. Storage_GB : Total provisioned disk space. IP_Address : Network identifier for connectivity mapping. Copied to clipboard Column Definitions : Unique identifier

: Essential for licensing and compatibility checks.

Since "vm_data_final.CSV" appears to be a placeholder for a virtual machine inventory, CSV Draft Content