AWS SAA-C03 #113

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 a new EC2 instance on AWS to run the transformation application.

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The correct answer is C. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue.

Here’s why:

• AWS Snowball Edge Storage Optimized is designed for large-scale data transfer. It’s a good fit for moving 50 TB of data, especially when the data center does not have available network bandwidth for additional workloads.
• AWS Glue can be used to create a custom transformation job. It’s a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics.

Option A (AWS DataSync) would require network bandwidth, which is not available in this scenario. Option B (AWS Snowcone) is not suitable for 50 TB of data as it’s designed for edge computing, storage, and data transfer for small-scale local environments. Option D (AWS Snowball Edge with Amazon EC2 compute) would involve more operational overhead because you would need to create a new EC2 instance to run the transformation application. Therefore, option C is the best choice to meet these requirements with the least operational overhead.