DEA-C01 · Question #188
A company has AWS resources in multiple AWS Regions. The company has an Amazon EFS file system in each Region where the company operates. The company's data science team operates within only a…
The correct answer is D. Use AWS DataSync to transfer files from each of the Regional EFS files systems to the file. AWS DataSync is designed for transferring data between AWS storage services across regions, such as EFS, S3, and other storage systems. By using DataSync, you can efficiently transfer data from each of the Regional EFS file systems to the EFS file system in the data science…
Question
A company has AWS resources in multiple AWS Regions. The company has an Amazon EFS file system in each Region where the company operates. The company's data science team operates within only a single Region. The data that the data science team works with must remain within the team's Region. A data engineer needs to create a single dataset by processing files that are in each of the company's Regional EFS file systems. The data engineer wants to use an AWS Step Functions state machine to orchestrate AWS Lambda functions to process the data. Which solution will meet these requirements with the LEAST effort?
Options
- APeer the VPCs that host the EFS file systems in each Region with the VPC that is in the data
- BConfigure each of the Regional EFS file systems to replicate data to the data science team's
- CDeploy the Lambda functions to each Region. Mount the Regional EFS file systems to the
- DUse AWS DataSync to transfer files from each of the Regional EFS files systems to the file
How the community answered
(34 responses)- A9% (3)
- B15% (5)
- C32% (11)
- D44% (15)
Explanation
AWS DataSync is designed for transferring data between AWS storage services across regions, such as EFS, S3, and other storage systems. By using DataSync, you can efficiently transfer data from each of the Regional EFS file systems to the EFS file system in the data science team's This allows the data to remain within the data science team's Region while being processed, which meets the requirement that data cannot leave the Region. Once the data is transferred, Lambda functions in the same Region as the data science team can mount the local EFS file system and process the data, minimizing complexity and the risk of network-related latency or failures from cross-region data processing. This approach ensures minimal operational effort because DataSync automates the transfer process and works seamlessly with EFS, while keeping the data localized for processing by Lambda functions in the same Region.
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