Q42 — AWS SAA-C03 Ch.4
Question 42 of 105 | ← Chapter 4
Q237. A company uses 50 TB of data for reporting. The company wants to move this data from on premises to AWS. A custom application in the company's data center runs a weekly data transformation job. The company plans to pause the application until the data transfer is complete and needs to begin the transfer process as soon as possible.The data center does not have any available network bandwidth for additional workloads. A solutions architect must transfer the data and must configure the transformation job to continue to run in the AWS Cloud.Which solution will meet these requirements with the LEAST operational overhead?
- A. Use AWS DataSync to move the data. Create a custom transformation job by using AWS Glue.
- B. Order an AWS Snowcone device to move the data. Deploy the transformation application to the device
- C. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue. ✓
- D. Order an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute. Copy the data to the device. Create anew EC2 instance on AWS to run the transformation application.
Correct Answer: C. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue.
Explanation
To move 50 TB of data from on premises to AWS while allowing the transformation job to continue running in the AWS Cloud and with the least operational overhead, a solutions architect should order an AWS Snowball Edge Storage Optimized device, copy the data to the device, and create a custom transformation job by using AWS Glue. Therefore, option C is the correct answer. Option A suggests using AWS DataSync to move the data and creating a custom transformation job by using AWS Glue. While this approach can work, it may require more setup and management compared to using a Snowball Edge device, especially if there are network bandwidth constraints. Option B suggests ordering an AWS Snowcone device to move the data and deploying the transformation application to the device. While this approach can work, Snowcone devices have limited storage capacity, and deploying the transformation application to the device may not be optimal for performance. Option C suggests ordering an AWS Snowball Edge Storage Optimized device, copying the data to the device, and creating a custom transformation job by using AWS Glue. This solution provides a scalable way to transfer large amounts of data without requiring additional network bandwidth. The Snowball Edge device has enough storage capacity to hold 50 TB of data and can be shipped to the company's data center for offline data transfer. Once the data is copied to the device, the transformation job can be created using AWS Glue, which eliminates the need for manual setup or infrastructure management. Option D suggests ordering an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute, copying the data to the device, and creating a new EC2 instance on AWS to run the transformation application. While this approach can work, it may require more setup and management compared to using AWS Glue, which is a fully managed service for ETL (Extract-Transform-Load) jobs. By using an AWS Snowball Edge Storage Optimized device to copy the data and creating a custom transformation job using AWS Glue, the company can easily transfer its data to AWS and continue running the weekly transformation job in the cloud, without requiring additional network bandwidth or complex infrastructure management. This solution minimizes operational overhead and meets the requirements stated in the question.