DEA-C01 Data Store Management Practice Question
A data engineer is setting up an Amazon Redshift cluster and needs to load data from Amazon S3. The data is in CSV format and contains a large number of rows. The engineer wants to achieve the fastest possible load time. Which method should the engineer use?
⚠ Common exam trap
The trap here is assuming that any AWS data transfer service can load data quickly, but only COPY is optimized for bulk loading into Redshift from S3.
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 the COPY command to load the data from Amazon S3 into the Redshift cluster.
The COPY command is specifically designed for bulk loading data from Amazon S3 into Redshift. It uses parallel processing to load data quickly and efficiently, supports CSV format, and can handle large volumes. Other methods like DMS or Firehose are not optimized for this use case, and INSERT is too slow.
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 Kinesis Data Firehose to stream the data from S3 to Redshift.
Why it's wrong here
Kinesis Data Firehose is for streaming data, not for bulk loading from S3. It can deliver data to Redshift, but it is designed for real-time or near-real-time ingestion, not for high-speed bulk loads of existing S3 data. Using Firehose would add latency and complexity without improving load speed.
- ✗
Use AWS Database Migration Service (AWS DMS) to migrate the data from S3 to Redshift.
Why it's wrong here
AWS DMS is designed for migrating databases, not for bulk loading from S3. While it can replicate data, it is not optimized for high-speed bulk loads from S3 and may introduce additional overhead. It is better suited for continuous replication or heterogeneous migrations, not for a one-time fast load of CSV data.
- ✓
Use the COPY command to load the data from Amazon S3 into the Redshift cluster.
Why this is correct
The COPY command is the most efficient way to load large datasets from Amazon S3 into Redshift. It leverages massively parallel processing, automatically distributes the load across all nodes, and can parse CSV files directly. It also supports compression and columnar formats for even faster loads, making it ideal for this scenario.
- ✗
Use the INSERT INTO command to load the data row by row from S3.
Why it's wrong here
The INSERT INTO command is for inserting individual rows, not for bulk loading from S3. It would be extremely slow for a large dataset because it processes row by row and does not leverage Redshift's parallel load capabilities. It also requires the data to be staged elsewhere first, making it impractical.
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.