AWS sagemaker documentation change
Summary
Added JSON code block markers and section separators throughout the document to format IAM policy examples
Security assessment
Changes improve formatting of existing security documentation but do not address specific vulnerabilities or security incidents. The additions help clarify IAM policy examples related to Data Wrangler security configurations.
Diff
diff --git a/sagemaker/latest/dg/data-wrangler-security.md b/sagemaker/latest/dg/data-wrangler-security.md index 473b2f641..ceb2b3c0d 100644 --- a//sagemaker/latest/dg/data-wrangler-security.md +++ b//sagemaker/latest/dg/data-wrangler-security.md @@ -41,0 +42,6 @@ In the response, you see a `RoleId` string which begins with `AROA`. Copy this s +JSON + + +**** + + @@ -120,0 +128,6 @@ The following policy assumes that the IAM role has permission to access the unde +JSON + + +**** + + @@ -196,0 +211,6 @@ The following policy grants permission to set up an Amazon Redshift connection t +JSON + + +**** + + @@ -231,0 +253,6 @@ If your dataset is stored in Amazon S3, you can grant an IAM role permission to +JSON + + +**** + + @@ -262,0 +291,6 @@ Use a policy similar to the following to grant the permissions described in the +JSON + + +**** + + @@ -302,0 +338,6 @@ You can also access data in your Amazon S3 bucket from another AWS account by sp +JSON + + +**** + + @@ -334,0 +377,6 @@ The user that is accessing the bucket (not the bucket owner) must add a policy s +JSON + + +**** + + @@ -371,0 +421,6 @@ Use a policy like to the following to create an IAM execution role that can be u +JSON + + +**** + + @@ -467,0 +524,6 @@ If you're transferring data to Amazon S3, you must also attach the following pol +JSON + + +**** + + @@ -516,0 +580,6 @@ Amazon AppFlow needs to access AWS Glue and Data Wrangler for you to import the +JSON + + +**** + + @@ -536,0 +607,6 @@ To display the Amazon AppFlow data in Data Wrangler, add the following policy to +JSON + + +**** + +