DEA-C01 Data Ingestion and Transformation Practice Question
A company uses AWS Glue to process large datasets. The Glue job occasionally fails with 'DiskFull' errors. Which TWO actions should the engineer take to resolve this issue? (Choose two.)
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 workers for the Glue job.
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 workers for the Glue job.
Why this is correct
More workers provide more aggregate disk space.
- ✗
Store intermediate results in Amazon S3 instead of local disk.
Why it's wrong here
Glue uses local disk for shuffle operations; S3 is not a substitute for local disk.
- ✗
Enable job bookmark to skip already processed data.
Why it's wrong here
Job bookmark reduces reprocessing but does not increase disk space.
- ✗
Use a Python shell job instead of Spark.
Why it's wrong here
Python shell may have different limits but does not solve disk full in Spark.
- ✓
Use G.2X worker type which provides more disk space per worker.
Why this is correct
G.2X has double the disk of G.1X.
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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.