AWS braket documentation change
Summary
Updated terminology from 'Amazon SageMaker AI' to 'SageMaker AI' in multiple sections and fixed a typo ('you' to 'your')
Security assessment
Changes are terminology updates and grammatical corrections. No security-related content was added or modified. The typo fix ('you' to 'your') improves clarity but doesn't impact security configurations.
Diff
diff --git a/braket/latest/developerguide/braket-cloudformation.md b/braket/latest/developerguide/braket-cloudformation.md index 875bd8b6c..20100b3d4 100644 --- a//braket/latest/developerguide/braket-cloudformation.md +++ b//braket/latest/developerguide/braket-cloudformation.md @@ -5 +5 @@ -Step 1: Create an Amazon SageMaker AI lifecycle configuration scriptStep 2: Create the IAM role assumed by Amazon SageMaker AIStep 3: Create an Amazon SageMaker AI notebook instance with the prefix amazon-braket- +Step 1: Create a SageMaker AI lifecycle configuration scriptStep 2: Create the IAM role assumed by Amazon SageMaker AIStep 3: Create a SageMaker AI notebook instance with the prefix amazon-braket- @@ -13 +13 @@ Step 1: Create an Amazon SageMaker AI lifecycle configuration scriptStep 2: Crea -You can use AWS CloudFormation to manage your Amazon Braket notebook instances. Braket notebook instances are built on Amazon SageMaker AI. With CloudFormation, you can provision a notebook instance with a template file that describes the intended configuration. The template file is written in JSON or YAML format. You can create, update, and delete instances in an orderly and repeatable fashion. You may find this useful when you manage multiple Braket notebook instances in you AWS account. +You can use AWS CloudFormation to manage your Amazon Braket notebook instances. Braket notebook instances are built on Amazon SageMaker AI. With CloudFormation, you can provision a notebook instance with a template file that describes the intended configuration. The template file is written in JSON or YAML format. You can create, update, and delete instances in an orderly and repeatable fashion. You may find this useful when you manage multiple Braket notebook instances in your AWS account. @@ -19 +19 @@ To create a Braket notebook instance using CloudFormation, you perform these thr - 1. Create an Amazon SageMaker AI lifecycle configuration script. + 1. Create a SageMaker AI lifecycle configuration script. @@ -32 +32 @@ You can reuse the lifecycle configuration for all of the Braket notebooks that y - * Step 1: Create an Amazon SageMaker AI lifecycle configuration script + * Step 1: Create a SageMaker AI lifecycle configuration script @@ -36 +36 @@ You can reuse the lifecycle configuration for all of the Braket notebooks that y - * Step 3: Create an Amazon SageMaker AI notebook instance with the prefix amazon-braket- + * Step 3: Create a SageMaker AI notebook instance with the prefix amazon-braket- @@ -41 +41 @@ You can reuse the lifecycle configuration for all of the Braket notebooks that y -## Step 1: Create an Amazon SageMaker AI lifecycle configuration script +## Step 1: Create a SageMaker AI lifecycle configuration script @@ -43 +43 @@ You can reuse the lifecycle configuration for all of the Braket notebooks that y -Use the following template to create a [SageMaker AI lifecycle configuration script](https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). The script customizes an SageMaker AI notebook instance for Braket. For configuration options for the lifecycle CloudFormation resource, see [AWS::SageMaker::NotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-notebookinstancelifecycleconfig.html) in the _AWS CloudFormation user guide_. +Use the following template to create a [SageMaker AI lifecycle configuration script](https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). The script customizes a SageMaker AI notebook instance for Braket. For configuration options for the lifecycle CloudFormation resource, see [AWS::SageMaker::NotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-notebookinstancelifecycleconfig.html) in the _AWS CloudFormation user guide_. @@ -117 +117 @@ Make sure that the role has permission for the `s3:ListBucket` and `s3:GetObject -## Step 3: Create an Amazon SageMaker AI notebook instance with the prefix `amazon-braket-` +## Step 3: Create a SageMaker AI notebook instance with the prefix `amazon-braket-`