Answer-first summary for fast verification
Answer: Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue.
## Explanation **Key Requirements Analysis:** 1. **50 TB of data** - Large volume 2. **No available network bandwidth** - Cannot use network-based transfer methods 3. **Need to begin transfer process as soon as possible** - Time-sensitive 4. **Must configure transformation job to run in AWS Cloud** - Post-transfer processing 5. **LEAST operational overhead** - Simplicity and efficiency **Option Analysis:** **A. AWS DataSync** - ❌ **Incorrect** - DataSync is a network-based data transfer service - Requires available network bandwidth - Not suitable when "data center does not have any available network bandwidth" **B. AWS Snowcone** - ❌ **Incorrect** - Snowcone has limited capacity (8 TB usable storage) - 50 TB would require multiple Snowcone devices - Deploying transformation application to the device adds unnecessary complexity - Snowcone is designed for smaller data volumes **C. AWS Snowball Edge Storage Optimized device** - ✅ **Correct** - Designed for petabyte-scale data transfers (80 TB capacity) - Physical device shipped to data center, bypassing network limitations - Can handle 50 TB in a single device - Simple workflow: copy data → ship device → AWS imports data - AWS Glue provides serverless ETL with minimal operational overhead **D. AWS Snowball Edge with EC2 compute** - ❌ **Incorrect** - Overly complex solution - Snowball Edge with EC2 compute is designed for edge computing scenarios - Creating a new EC2 instance on AWS adds unnecessary steps - Higher operational overhead than Option C **Why Option C is Best:** 1. **Addresses network constraint**: Snowball Edge uses physical transport 2. **Single device solution**: 50 TB fits within Snowball Edge Storage Optimized capacity 3. **Minimal operational overhead**: Simple data copy process + serverless AWS Glue 4. **AWS Glue benefits**: Serverless, managed ETL service with automatic scaling 5. **Cost-effective**: No need for compute resources on the Snowball device **Best Practice:** For large data transfers with network constraints, AWS Snowball Edge Storage Optimized devices are the recommended solution. AWS Glue provides a managed, serverless ETL service that minimizes operational overhead compared to managing EC2 instances or deploying applications to edge devices.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
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.