DEA-C01 Data Ingestion and Transformation Practice Question
A company is using AWS Glue to process data from an Amazon S3 data lake. The Glue job runs daily and transforms data into multiple output formats. Which TWO actions can the company take to optimize the Glue job's performance and reduce costs? (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 DPUs allocated to the job.
Options A and E are correct. Increasing the number of DPUs (A) can parallelize processing and improve performance for data-intensive Glue jobs, potentially reducing runtime and cost if the job runs faster. Enabling job bookmarking (E) allows Glue to track processed data and process only new or changed data in incremental runs, reducing processing time and cost by avoiding full reprocessing. Option B (reducing DPUs) would likely decrease performance. Option C (disabling bookmarking) would force full reprocessing, increasing cost and time. Option D (increasing job timeout) does not optimize performance or cost; it only allows the job to run longer, which could increase cost if the job is inefficient.
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 DPUs allocated to the job.
Why this is correct
More DPUs can speed up processing, reducing runtime and possibly cost.
- ✗
Reduce the number of DPUs (Data Processing Units) allocated to the job.
Why it's wrong here
Reducing DPUs may slow down the job, potentially increasing costs if the job runs longer.
- ✗
Disable job bookmarking to force full reprocessing every run.
Why it's wrong here
This would increase processing time and cost.
- ✗
Increase the job timeout to allow more time for processing.
Why it's wrong here
Timeout does not affect performance; it only sets a maximum duration.
- ✓
Enable job bookmarking to process only new data.
Why this is correct
Job bookmarking tracks processed data and avoids reprocessing, saving time and cost.
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 |
Go deeper
Related to this question
About these practice questions
Courseiva writes every DEA-C01 question from scratch — 1,711 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.