Topic 1 Question 150

AWS Certified Data Engineer - Associate

Topic 1 Question 150
An ecommerce company operates a complex order fulfilment process that spans several operational systems hosted in AWS. Each of the operational systems has a Java Database Connectivity (JDBC)-compliant relational database where the latest processing state is captured.

The company needs to give an operations team the ability to track orders on an hourly basis across the entire fulfillment process.

Which solution will meet these requirements with the LEAST development overhead?
- Use AWS Glue to build ingestion pipelines from the operational systems into Amazon Redshift Build dashboards in Amazon QuickSight that track the orders.
- Use AWS Glue to build ingestion pipelines from the operational systems into Amazon DynamoDBuild dashboards in Amazon QuickSight that track the orders.
- Use AWS Database Migration Service (AWS DMS) to capture changed records in the operational systems. Publish the changes to an Amazon DynamoDB table in a different AWS region from the source database. Build Grafana dashboards that track the orders.
- Use AWS Database Migration Service (AWS DMS) to capture changed records in the operational systems. Publish the changes to an Amazon DynamoDB table in a different AWS region from the source database. Build Amazon QuickSight dashboards that track the orders.
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コメント(5)
- 正解だと思う選択肢: A
  DynamoDB is not relational data base
  
  👍 3
  pepedaruiz9992025/01/12
- 正解だと思う選択肢: A
  https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/build-an-etl-service-pipeline-to-load-data-incrementally-from-amazon-s3-to-amazon-redshift-using-aws-glue.html
  
  👍 2
  emupsx12024/11/24
- 正解だと思う選択肢: D
  Using AWS DMS for real-time change data capture (CDC) and publishing the changes to DynamoDB, followed by building QuickSight dashboards, is the most efficient solution with the least development overhead for this use case
  
  👍 2
  kailu2024/12/21
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