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AWS sagemaker-unified-studio documentation change

Service: sagemaker-unified-studio · 2025-11-28 · Documentation low

File: sagemaker-unified-studio/latest/userguide/navigating-sagemaker-unified-studio.md

Summary

Restructured navigation documentation with added IAM role context, renamed sections, updated example projects, and added Domain Management section for admin roles

Security assessment

Added documentation about IAM role requirements for accessing components and Domain Management section for administrators. While this clarifies security controls, there's no evidence of addressing a specific vulnerability. The changes improve security awareness but don't patch an existing issue.

Diff

diff --git a/sagemaker-unified-studio/latest/userguide/navigating-sagemaker-unified-studio.md b/sagemaker-unified-studio/latest/userguide/navigating-sagemaker-unified-studio.md
index 6fe52f389..a4c62c3b6 100644
--- a//sagemaker-unified-studio/latest/userguide/navigating-sagemaker-unified-studio.md
+++ b//sagemaker-unified-studio/latest/userguide/navigating-sagemaker-unified-studio.md
@@ -4,0 +5,2 @@
+Navigation PanelJump into your data and modelsBuild with sample data
+
@@ -7 +9 @@
-Amazon SageMaker Unified Studio provides a comprehensive integrated development environment (IDE) for machine learning (ML) and data science workflows. From the project overview page, you will be able to access the following components.
+Amazon SageMaker Unified Studio provides a comprehensive integrated development environment for machine learning (ML) and data science workflows. **For SageMaker Unified Studio domains configured with IAM roles** , you will be able to access the following components from the project overview page.
@@ -9 +11 @@ Amazon SageMaker Unified Studio provides a comprehensive integrated development
-**Navigation Panel**
+## Navigation Panel
@@ -13 +15 @@ The left sidebar contains hierarchical navigation to access various Amazon SageM
-**Overview**
+### Overview
@@ -28,10 +30 @@ The left sidebar contains hierarchical navigation to access various Amazon SageM
-**Code**
-
-  * JupyterLab: Managed JupyterLab IDE
-
-  * Editor for VS Code: Visual Studio Code IDE
-
-
-
-
-**Data Analytics**
+### Data analytics
@@ -43 +36 @@ The left sidebar contains hierarchical navigation to access various Amazon SageM
-  * Data processing jobs: Management of data processing
+  * Data processing jobs: View and manage job execution
@@ -48 +41 @@ The left sidebar contains hierarchical navigation to access various Amazon SageM
-**AI/ML**
+### AI/ML
@@ -61 +54,14 @@ The left sidebar contains hierarchical navigation to access various Amazon SageM
-**Jump into your data**
+### Integrated development environments (IDEs)
+
+  * JupyterLab: Managed JupyterLab integrated development environment
+
+  * Editor for VS Code: Visual Studio Code integrated development environment
+
+
+
+
+### Domain Management
+
+For IAM roles with administrator privileges to access the admin interface
+
+## Jump into your data and models
@@ -74 +80 @@ This top section provides quick access to common actions:
-**Build with sample data**
+## Build with sample data
@@ -78 +84 @@ This section middle section offers pre-configured example projects:
-  * Customer churn prediction - Random Forest implementation with feature engineering
+  * Customer usage analysis - SQL-based customer retention analysis
@@ -82 +88 @@ This section middle section offers pre-configured example projects:
-  * Retail sales forecasting - End-to-end retail sales analysis using Amazon SageMaker Unified Studio AI
+  * Customer churn prediction - Random Forest implementation with feature engineering
@@ -84 +90 @@ This section middle section offers pre-configured example projects:
-  * Customer loyalty analysis - SQL-based customer retention analysis
+  * Retail sales forecasting - End-to-end retail sales analysis using Amazon SageMaker Unified Studio AI