DEA-C01 Data Ingestion and Transformation Practice Question
A company uses AWS Glue to run ETL jobs daily. The data engineer wants to reduce costs by optimizing the job configuration. Which two actions will help reduce costs? (Choose TWO.)
⚠ Common exam trap
Test-takers frequently confuse cost optimization with reliability improvements, such as retries or timeouts, and may overlook that reducing worker size or DPU count directly lowers resource consumption and cost.
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
✓
Use G.1X worker type instead of G.2X
G.1X workers provide 16 GB of memory and 4 vCPUs, while G.2X workers provide 32 GB and 8 vCPUs. For many ETL jobs, especially those with smaller data volumes or less complex transformations, G.1X workers are sufficient, and using them instead of G.2X directly reduces the cost per DPU-hour since AWS Glue pricing is based on DPU capacity. This optimization lowers costs without sacrificing performance if the job is not memory- or CPU-bound.
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 G.1X worker type instead of G.2X
Why this is correct
G.1X is half the cost of G.2X.
- ✗
Increase the job timeout to 48 hours
Why it's wrong here
Does not reduce cost; may keep resources idle.
- ✗
Enable Spark UI logging for debugging
Why it's wrong here
Adds logging cost and overhead.
- ✓
Reduce the number of DPUs allocated to the job if the data volume is small
Why this is correct
Lower DPUs reduce compute cost.
- ✗
Increase the number of job retries to handle transient failures
Why it's wrong here
More retries increase cost.
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Written by Johnson Ajibi, MSc IT Security
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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.