AWS sagemaker-unified-studio documentation change
Summary
Removed detailed instance provisioning steps and simplified instance requirements (changed 4GiB to 4GB, removed project profile reference). Removed 'To prepare to schedule a query' section.
Security assessment
Changes focus on simplifying documentation and updating technical specifications (GiB to GB). No security vulnerabilities, fixes, or security features are mentioned.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/create-workflow.md b/sagemaker-unified-studio/latest/userguide/create-workflow.md index 40c13983a..9a9ce8a91 100644 --- a/sagemaker-unified-studio/latest/userguide/create-workflow.md +++ b/sagemaker-unified-studio/latest/userguide/create-workflow.md @@ -13,18 +13 @@ Use workflows to orchestrate notebooks, querybooks, and more in your project rep -Before you can create a workflow, you must prepare the files that you want to run. The files should be saved in your JupyterLab space in a folder that you can easily locate later. You must also provision an instance of at least 4GiB memory and 4vCPU in a project created with the **All capabilities** project profile. - -###### To provision an instance for workflows - - 1. Navigate to Amazon SageMaker Unified Studio using the URL from your admin and log in using your SSO or AWS credentials. - - 2. Navigate to the project that you want to create your workflow in. - - 3. Expand the **Build** menu in the top navigation, then choose **JupyterLab** to navigate to the JupyterLab IDE. - - 4. Choose **Configure space** - - 5. Under **Instance** , select an instance that has at least 4 vCPU and 4GiB. This might result in an additional cost. - - 6. Choose **Save and restart**. It might take a few minutes for the restart to finish. - - - +Before you can create a workflow, you must prepare the files that you want to run. The files should be saved in your JupyterLab space in a folder that you can easily locate later. You must also provision an instance of at least 4GB memory and 4vCPUs. @@ -34,2 +16,0 @@ If you want to schedule a query to run, you must first save the querybook to the -###### To prepare to schedule a query -