diff --git a/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/SageMakerPipelinesWkflw.js b/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/SageMakerPipelinesWkflw.js index 48a22c3e2e0..f55be1c7ba8 100644 --- a/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/SageMakerPipelinesWkflw.js +++ b/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/SageMakerPipelinesWkflw.js @@ -207,7 +207,7 @@ export class SageMakerPipelinesWkflw { MESSAGES.creatingSQSQueue.replace("${QUEUE_NAME}", this.names.SQS_QUEUE) ); - // Create SQS queue for the SageMaker pipeline. + // Create an SQS queue for the SageMaker pipeline. const { queueUrl, queueArn, diff --git a/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/messages.js b/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/messages.js index 292d9687c90..47483fedc3d 100644 --- a/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/messages.js +++ b/javascriptv3/example_code/sagemaker/scenarios/wkflw-sagemaker-geospatial-pipeline/messages.js @@ -1,3 +1,8 @@ +/* + * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. + * SPDX-License-Identifier: Apache-2.0 + */ + export const MESSAGES = { greeting: `Welcome to the Amazon SageMaker pipeline example scenario. This example workflow will guide you through setting up and executing a SageMaker pipeline. The pipeline uses an AWS Lambda function and an Amazon Simple Queue Service (Amazon SQS) queue. It also runs a vector enrichment reverse geocode job to reverse geocode addresses in an input file and store the results in an export file.`, greetingHeader: "Welcome to Amazon SageMaker Pipelines.", @@ -8,17 +13,17 @@ export const MESSAGES = { attachPolicy: 'Attaching IAM policy "${POLICY_NAME}" to role "${ROLE_NAME}".', policyAttached: "IAM Policy attached.", creatingFunction: "Creating Lambda function: ${FUNCTION_NAME}.", - functionCreated: "Created Lambda function with name: ${FUNCTION_NAME}", + functionCreated: "Created Lambda function with name: ${FUNCTION_NAME}.", creatingSQSQueue: "Creating SQS queue: ${QUEUE_NAME}.", - sqsQueueCreated: "Created SQS queue with name: ${QUEUE_NAME}", + sqsQueueCreated: "Created SQS queue with name: ${QUEUE_NAME}.", configuringLambdaSQSEventSource: - "Configuring ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}", + "Configuring ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}.", lambdaSQSEventSourceConfigured: - "Configured ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}", + "Configured ${LAMBDA_NAME} to receive events from ${QUEUE_NAME}.", creatingPipeline: "Creating SageMaker pipeline: ${PIPELINE_NAME}.", - pipelineCreated: "Created SageMaker pipeline with name: ${PIPELINE_NAME}", + pipelineCreated: "Created SageMaker pipeline with name: ${PIPELINE_NAME}.", creatingS3Bucket: "Creating S3 bucket: ${BUCKET_NAME}.", - s3BucketCreated: "Created S3 bucket with name: ${BUCKET_NAME}", + s3BucketCreated: "Created S3 bucket with name: ${BUCKET_NAME}.", uploadingInputData: "Uploading input data to S3 bucket: ${BUCKET_NAME}.", inputDataUploaded: "Uploaded input data to S3 bucket.", executePipeline: