- A
Use Amazon S3 Transfer Acceleration
S3 Transfer Acceleration can speed up uploads over the network.
- B
Use AWS Direct Connect with 10 Gbps
Why wrong: Direct Connect would help but the problem states 1 Gbps limitation.
- C
Use AWS Snowball Edge to transfer the data to S3
Snowball Edge can physically transfer large datasets faster than network.
- D
Use AWS Lambda to copy data in parallel
Why wrong: Lambda has time and memory limits, not suitable for 50 TB.
- E
Use Amazon Kinesis Data Firehose
Why wrong: Firehose is for streaming, not bulk data transfer.
Question 908 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates 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.
Detailed technical explanation
How to think about this question
S3 Transfer Acceleration works by routing traffic through AWS edge locations using the TCP optimization and Anycast routing of the AWS global network, which reduces the impact of internet congestion and high latency. For a 50 TB transfer, the COPY command in Redshift can load data in parallel from S3, and Transfer Acceleration can be enabled on the S3 bucket endpoint (e.g., `s3-accelerate.amazonaws.com`) to improve upload speeds. In practice, if the source is in a region far from the target S3 bucket, Transfer Acceleration can reduce transfer time by 50-80% compared to standard S3 uploads.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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