Document Details
Notebooks
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
windows_first
powershell_heavy
windows_tools
Summary
The documentation page demonstrates a Windows bias primarily through its focus on Microsoft Azure and Sentinel, which are more commonly used in Windows-centric environments. Examples and instructions reference Windows tools (e.g., PowerShell) before Linux equivalents, and there is no mention of Linux-specific patterns, tools, or examples for managing access or running Jupyter notebooks. The documentation assumes the use of Azure Machine Learning Compute, which is platform-agnostic but presented in a way that aligns with Windows workflows. PowerShell is referenced explicitly, while Linux alternatives (such as Bash or native Linux CLI usage) are not mentioned.
Recommendations
- Include Linux/Bash command examples alongside PowerShell for role assignments and workspace management.
- Explicitly mention that Jupyter notebooks and MSTICPy can be used on Linux systems, and provide setup instructions for Linux environments.
- Reference Linux-native tools and workflows (e.g., Azure CLI usage from Bash, Linux authentication patterns) where applicable.
- Add a section or note about cross-platform compatibility, clarifying that the tools and libraries work on both Windows and Linux.
- Provide troubleshooting tips or FAQs for Linux users running Jupyter notebooks with Microsoft Sentinel.
Create Pull Request
Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-14 00:00 | #250 | in_progress |
 Clean
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| 2026-01-13 00:00 | #246 | completed |
Clean
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| 2026-01-11 00:00 | #240 | completed |
Biased
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| 2026-01-10 00:00 | #237 | completed |
Biased
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| 2026-01-09 00:34 | #234 | completed |
Biased
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| 2026-01-08 00:53 | #231 | completed |
Biased
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| 2026-01-06 18:15 | #225 | cancelled |
Clean
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| 2025-09-11 00:00 | #108 | completed |
Clean
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| 2025-08-11 00:00 | #77 | completed |
Clean
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| 2025-08-10 00:00 | #76 | completed |
Clean
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| 2025-08-09 00:00 | #75 | completed |
Clean
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| 2025-08-08 00:00 | #74 | completed |
Clean
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| 2025-08-07 00:00 | #73 | completed |
Clean
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| 2025-08-06 00:00 | #72 | completed |
Clean
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| 2025-08-05 00:00 | #71 | completed |
Clean
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| 2025-08-03 00:00 | #69 | completed |
Clean
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| 2025-08-01 00:00 | #67 | completed |
Clean
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| 2025-07-31 00:00 | #66 | completed |
Clean
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| 2025-07-30 00:00 | #65 | completed |
Clean
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| 2025-07-29 00:01 | #64 | completed |
Clean
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| 2025-07-28 00:00 | #63 | completed |
Clean
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| 2025-07-13 21:37 | #48 | completed |
Clean
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| 2025-07-12 23:44 | #41 | cancelled |
Clean
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