DEA-C01 Data Ingestion and Transformation Practice Question
A company is migrating its data warehouse from on-premises to Amazon Redshift. The migration involves copying 50 TB of data from an S3 bucket to Redshift. The network bandwidth is limited to 1 Gbps. Which TWO approaches should the team use to complete the transfer within 7 days?
⚠ Common exam trap
It's easy for candidates to assume 1 Gbps bandwidth is sufficient for 50 TB in 7 days based on raw calculations, but they overlook real-world network inefficiencies like TCP window scaling, packet loss, and latency, which can drastically reduce effective throughput, making S3 Transfer Acceleration or Snowball Edge necessary.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon S3 Transfer Acceleration
Amazon S3 Transfer Acceleration (option A) uses AWS edge locations to accelerate uploads over the public internet by routing traffic through optimized paths, which can significantly improve transfer speeds for large datasets when bandwidth is limited. With 1 Gbps bandwidth, the theoretical maximum transfer for 50 TB over 7 days is approximately 75.6 TB (1 Gbps * 7 days * 86400 seconds/day / 8 bits/byte), so the raw bandwidth is sufficient, but Transfer Acceleration helps overcome latency and packet loss issues that can reduce effective throughput. This makes it a valid approach to ensure the transfer completes within the time window.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon S3 Transfer Acceleration
Why this is correct
S3 Transfer Acceleration can speed up uploads over the network.
- ✗
Use AWS Direct Connect with 10 Gbps
Why it's wrong here
Direct Connect would help but the problem states 1 Gbps limitation.
- ✓
Use AWS Snowball Edge to transfer the data to S3
Why this is correct
Snowball Edge can physically transfer large datasets faster than network.
- ✗
Use AWS Lambda to copy data in parallel
Why it's wrong here
Lambda has time and memory limits, not suitable for 50 TB.
- ✗
Use Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for streaming, not bulk data transfer.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.