AWS forecast documentation change
Summary
Updated references from 'AWS CloudFormation' to 'CloudFormation' throughout the tutorial
Security assessment
Consistency update in service naming conventions. No security features added or modified. The tutorial content about template deployment and IAM capabilities remains unchanged in security context.
Diff
diff --git a/forecast/latest/dg/tutorial-cloudformation.md b/forecast/latest/dg/tutorial-cloudformation.md index f2127705c..6bd7d17da 100644 --- a//forecast/latest/dg/tutorial-cloudformation.md +++ b//forecast/latest/dg/tutorial-cloudformation.md @@ -5 +5 @@ -PrerequisitesDeploying an AWS CloudFormation Template for Forecast automationClean Up +PrerequisitesDeploying an CloudFormation Template for Forecast automationClean Up @@ -9 +9 @@ Amazon Forecast is no longer available to new customers. Existing customers of A -# Automating with AWS CloudFormation +# Automating with CloudFormation @@ -13 +13 @@ In this tutorial, you use an AWS CloudFormation automation stack to launch an Am -The AWS Forecast AWS CloudFormation stack: +The AWS Forecast CloudFormation stack: @@ -15 +15 @@ The AWS Forecast AWS CloudFormation stack: - * Deploys the [Improving Forecast Accuracy with Machine Learning Solution](https://docs.aws.amazon.com/solutions/latest/improving-forecast-accuracy-with-machine-learning/automated-deployment.html) AWS CloudFormation template. + * Deploys the [Improving Forecast Accuracy with Machine Learning Solution](https://docs.aws.amazon.com/solutions/latest/improving-forecast-accuracy-with-machine-learning/automated-deployment.html) CloudFormation template. @@ -24 +24 @@ The AWS Forecast AWS CloudFormation stack: -The AWS CloudFormation template is preloaded with target time-series, related time-series, and item metadata demonstration datasets. Relevant fields in the console are pre-filled with their respective S3 locations. +The CloudFormation template is preloaded with target time-series, related time-series, and item metadata demonstration datasets. Relevant fields in the console are pre-filled with their respective S3 locations. @@ -34 +34 @@ The following diagram shows the components used in this tutorial. -Before starting the tutorial, make sure you have logged into your AWS account and installed the AWS CloudFormation template: +Before starting the tutorial, make sure you have logged into your AWS account and installed the CloudFormation template: @@ -65 +65 @@ This deploys a demonstration stack using the [NYC Taxi Dataset](https://registry -## Deploying an AWS CloudFormation Template for Forecast automation +## Deploying an CloudFormation Template for Forecast automation @@ -79 +79 @@ To deploy the CloudFormation template using the NYC Taxi Dataset -**Step 4** : For Capabilities, select both check boxes to allow AWS CloudFormation to create AWS Identity and Access Management (IAM) resources and nested stacks. Choose **Create stack**. +**Step 4** : For Capabilities, select both check boxes to allow CloudFormation to create AWS Identity and Access Management (IAM) resources and nested stacks. Choose **Create stack**. @@ -83 +83 @@ To deploy the CloudFormation template using the NYC Taxi Dataset -You have deployed an AWS CloudFormation template in Forecast. +You have deployed an CloudFormation template in Forecast. @@ -87 +87 @@ You have deployed an AWS CloudFormation template in Forecast. -After deploying this AWS CloudFormation template, you can clean up newly created resources, deploy the AWS CloudFormation stack using your own datasets, and explore other deployment options. +After deploying this CloudFormation template, you can clean up newly created resources, deploy the CloudFormation stack using your own datasets, and explore other deployment options. @@ -91 +91 @@ After deploying this AWS CloudFormation template, you can clean up newly created - * **Using your own datasets** : To deploy this AWS CloudFormation template with your own time-series data, enter the S3 locations of your datasets in the Datasets Configuration section in **Step 2**. + * **Using your own datasets** : To deploy this CloudFormation template with your own time-series data, enter the S3 locations of your datasets in the Datasets Configuration section in **Step 2**.