DEA-C01 Data Ingestion and Transformation Practice Question
A company runs a data pipeline using AWS Glue ETL jobs to process daily files from an S3 bucket. The files are in CSV format and range from 1 GB to 10 GB. The Glue job runs successfully for small files but fails with an 'Out of Memory' error for files larger than 5 GB. The job uses a single G.1X DPU (16 GB memory). The company needs to process these large files without changing the existing ETL script. Which solution should the company implement?
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
✓
Increase the number of DPUs and use the G.2X worker type to provide more memory per worker.
Increasing the number of DPUs and switching to the G.2X worker type allocates more memory per worker (32 GB instead of 16 GB), allowing the Glue job to process larger CSV files without modifying the ETL script. Option A is incorrect because converting to Parquet would require changing the script and may still encounter memory limits with very large files. Option B is incorrect because Optimus format is not a standard AWS Glue feature; the correct approach is to increase memory. Option C is incorrect because moving to Amazon EMR with Spark would likely require rewriting the script, which the company wants to avoid.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Convert the input files from CSV to Parquet format to reduce memory usage.
Why it's wrong here
Changing file format may not solve memory issues and may require script changes.
- ✗
Use the Optimus format in AWS Glue to compress data.
Why it's wrong here
Optimus is not a standard compression format.
- ✗
Use Amazon EMR with Spark instead of AWS Glue.
Why it's wrong here
Switching to EMR requires rewriting the ETL script.
- ✓
Increase the number of DPUs and use the G.2X worker type to provide more memory per worker.
Why this is correct
More DPUs and G.2X provide additional memory.
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 |
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JA
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.