Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
powershell_heavy
windows_first
windows_tools
Summary
The documentation page is primarily focused on enabling Microsoft Entra Domain Services authentication for Azure Files over SMB, which is a feature that is most commonly used in Windows environments. While the page does mention Linux VM support and provides a link to Linux-specific instructions, the majority of examples, especially for configuring Kerberos encryption, use Windows PowerShell cmdlets and Windows-centric tooling. The instructions for enabling AES-256 encryption are exclusively for Windows Server Active Directory PowerShell and require a Windows domain-joined client. Windows/PowerShell examples are presented first and in more detail, with Linux equivalents referenced only via external links.
Recommendations
  • Add explicit Linux command-line examples (e.g., using Azure CLI, shell scripts, or Linux-native tools) for steps where possible, especially for storage account configuration.
  • Provide guidance or links for configuring Kerberos encryption types for storage accounts from Linux domain-joined machines, if supported.
  • Where Windows PowerShell is required, clarify if there are any Linux alternatives or explicitly state that these steps are Windows-only.
  • Ensure Linux documentation is equally discoverable and referenced in relevant sections, not just as a side note.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2025-08-19 00:01 #85 completed Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-12 23:44 #41 cancelled Biased Biased

Flagged Code Snippets