Topic 1 Question 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?
Use AWS DataSync to move the data. Create a custom transformation job by using AWS Glue.
Order an AWS Snowcone device to move the data. Deploy the transformation application to the device.
Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue.
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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- 正解だと思う選択肢: C
A. Use AWS DataSync to move the data. Create a custom transformation job by using AWS Glue. - No BW available for DataSync, so "asap" will be weeks/months (?) B. Order an AWS Snowcone device to move the data. Deploy the transformation application to the device. - Snowcone will just store 14TB (SSD configuration). C. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue. - SnowBall can store 80TB (ok), takes around 1 week to move the device (faster than A), and AWS Glue allows to do ETL jobs. This is the answer. 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. - Same as C, but the ETL job requires the deployment/configuration/maintenance of an EC2 instance, while Glue is serverless. This means D has more operational overhead than C.
👍 32123jhl02022/10/19 - 正解だと思う選択肢: D
Why C? This answer misses the part between SnowBall and AWS Glue. D at least provides a full-step solution that copies data in snowball device, and installs the custom application in device's EC2 to do the transformation job.
👍 8goodmail2023/01/13 .... and the AI maven says :
A solution that would meet these requirements with the least operational overhead is to use AWS Snowball Edge. Snowball Edge is a data transfer device that can transfer large amounts of data into and out of the AWS cloud with minimal network bandwidth requirements. Additionally, Snowball Edge can run custom scripts on the device, so the transformation job can be configured to continue running during the transfer. Once the transfer is complete, the data can be loaded into an AWS storage service such as Amazon S3. This solution would minimize operational overhead by allowing for a parallel transfer and processing of data, rather than requiring the application to be paused.
👍 3G32023/01/29
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