DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is troubleshooting an AWS Glue ETL job that fails with an OutOfMemory error when processing large JSON files from Amazon S3. The files contain deeply nested structures. Which approach should the engineer take to resolve this issue?
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 DPU (Data Processing Unit) per worker
Increasing the DPU per worker allocates more memory per worker, directly addressing the OutOfMemory error when processing large files. Option A is incorrect because the `recurse` option is not a valid argument for `getResolvedOptions`, which is used for retrieving job parameters. Option B is incorrect because increasing the number of workers adds parallelism but does not increase memory per worker; OOM occurs per worker. Option D is incorrect because decreasing partitions reduces parallelism, potentially causing each partition to be larger, worsening the memory issue.
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 the `recurse` option with `getResolvedOptions` to limit recursion
Why it's wrong here
This does not address memory issue.
- ✗
Increase the number of workers in the Glue job configuration
Why it's wrong here
More workers increase parallelism but not memory per worker.
- ✓
Increase the DPU (Data Processing Unit) per worker
Why this is correct
More DPU per worker allocates more memory, resolving OOM.
- ✗
Decrease the number of partitions while reading the data
Why it's wrong here
Reducing partitions may increase memory pressure.
Visual reference
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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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.