DEA-C01 Data Operations and Support Practice Question
Network Topology
A data engineer runs an AWS Glue ETL job that transforms data in Amazon S3. The job fails with the error shown in the exhibit. Which action will MOST likely fix the 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
✓
Change the worker type from G.1X to G.2X.
The error indicates an out-of-memory error in the Spark executor. This occurs when the executor memory is insufficient for the data being processed. Option D, changing the worker type from G.1X to G.2X, doubles the memory per worker (from 4 GB to 8 GB for Spark executors), addressing the memory issue directly. Option A is incorrect because decreasing the number of workers reduces the total memory and parallelism, worsening the problem. Option B is incorrect because the error is not related to IAM permissions; an IAM policy for S3 write access would resolve a different error (e.g., AccessDenied). Option C is incorrect because increasing the number of workers from 2 to 4 adds more executors but does not increase memory per executor, and the error is likely due to insufficient per-executor memory.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Decrease the number of workers from 2 to 1.
Why it's wrong here
This reduces parallelism and may worsen memory issues.
- ✗
Add an IAM policy that grants the Glue job permission to write to S3.
Why it's wrong here
The error is not a permission issue.
- ✗
Increase the number of workers from 2 to 4.
Why it's wrong here
More workers do not increase memory per worker.
- ✓
Change the worker type from G.1X to G.2X.
Why this is correct
G.2X provides more memory per worker, addressing the OOM error.
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.