DEA-C01 Data Ingestion and Transformation Practice Question
A logistics company uses AWS Glue to process GPS data from delivery trucks. The data is stored in Amazon S3 as JSON files. The Glue job reads the JSON files, converts them to Parquet, and writes them back to S3. The company notices that the Glue job takes too long to complete. The data engineer wants to improve the job's performance without changing the code. What should the data engineer do?
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
✓
Change the worker type to G.2X.
Changing the worker type to G.2X provides more memory and CPU per worker, which improves performance for memory-intensive tasks like converting JSON to Parquet. Option A is wrong because increasing the number of DPUs can help with parallelism but may still be limited by per-worker memory; upgrading worker type is more efficient. Option C is wrong because G.1X is the default and provides less resources than G.2X. Option D is wrong because decreasing DPUs would reduce parallelism and worsen performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the number of DPUs to 20.
Why it's wrong here
More DPUs may improve parallelism but the worker type is still standard; G.2X provides more resources per worker.
- ✓
Change the worker type to G.2X.
Why this is correct
G.2X workers have double the memory and compute, accelerating the transformation.
- ✗
Change the worker type to G.1X.
Why it's wrong here
G.1X is the default worker type; it already has 16 GB memory. G.2X offers 32 GB.
- ✗
Decrease the number of DPUs to 5 to reduce overhead.
Why it's wrong here
Fewer DPUs would make the job slower.
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.