AWS neptune documentation change
Summary
Updated documentation to remove redundant 'AWS' prefix from CloudFormation references and adjust terminology consistency
Security assessment
Changes are purely editorial, removing redundant 'AWS' from 'AWS CloudFormation' references. No security-related content was added or modified. The updates focus on terminology consistency rather than addressing vulnerabilities or security features.
Diff
diff --git a/neptune/latest/userguide/machine-learning-manual-setup.md b/neptune/latest/userguide/machine-learning-manual-setup.md index 3aa2c4c01..e42a488f6 100644 --- a//neptune/latest/userguide/machine-learning-manual-setup.md +++ b//neptune/latest/userguide/machine-learning-manual-setup.md @@ -7 +7 @@ Start with a working clusterInstall Neptune-ExportCreate NeptuneLoadFromS3Create -# Setting up Neptune ML without using the quick-start AWS CloudFormation template +# Setting up Neptune ML without using the quick-start CloudFormation template @@ -9 +9 @@ Start with a working clusterInstall Neptune-ExportCreate NeptuneLoadFromS3Create -This guide provides step-by-step instructions for setting up Amazon Neptune ML without using the AWS AWS CloudFormation quick-start template. It assumes you already have a working Neptune DB cluster and covers the necessary setup, including installing the Neptune-Export service, creating custom IAM roles, and configuring your DB cluster to enable Neptune ML. The guide also explains how to create two SageMaker AI endpoints in your Neptune VPC to give the Neptune engine access to the necessary SageMaker AI management APIs. By following these instructions, you can set up Neptune ML on your existing Neptune infrastructure without relying on the AWS CloudFormation template. +This guide provides step-by-step instructions for setting up Amazon Neptune ML without using the AWS CloudFormation quick-start template. It assumes you already have a working Neptune DB cluster and covers the necessary setup, including installing the Neptune-Export service, creating custom IAM roles, and configuring your DB cluster to enable Neptune ML. The guide also explains how to create two SageMaker AI endpoints in your Neptune VPC to give the Neptune engine access to the necessary SageMaker AI management APIs. By following these instructions, you can set up Neptune ML on your existing Neptune infrastructure without relying on the CloudFormation template. @@ -13 +13 @@ This guide provides step-by-step instructions for setting up Amazon Neptune ML w -If you don't use the AWS CloudFormation quick-start template to set up Neptune ML, you will need an existing Neptune DB cluster to work with. If you want, you can use one you already have, or clone one that you are already using, or you can create a new one (see [Create Neptune cluster](./get-started-create-cluster.html)). +If you don't use the CloudFormation quick-start template to set up Neptune ML, you will need an existing Neptune DB cluster to work with. If you want, you can use one you already have, or clone one that you are already using, or you can create a new one (see [Create Neptune cluster](./get-started-create-cluster.html)). @@ -245 +245 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Setup using AWS CloudFormation +Setup using CloudFormation