DEA-C01 Data Ingestion and Transformation Practice Question
A data engineering team is designing a batch processing workflow using AWS Glue. The job reads from an S3 bucket, transforms data, and writes to another S3 bucket. The job runs daily and processes new data incrementally. Which THREE features should they use to optimize performance 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
✓
Enable Glue job autoscaling.
Options B, D, and E are correct. Glue job autoscaling (B) dynamically adjusts resources, optimizing cost and performance. Predicate pushdown and column pruning (D) reduce data scanned, improving efficiency. Job bookmarks (E) enable incremental processing, avoiding reprocessing of old data. Option A (converting to Parquet) is a good practice but not a Glue feature. Option C (manually increasing DPUs) is not optimal because it lacks flexibility and may waste resources.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Convert all input data to Parquet format before processing.
Why it's wrong here
Not a Glue feature; may be done externally.
- ✓
Enable Glue job autoscaling.
Why this is correct
Adjusts resources to workload.
- ✗
Manually increase the number of DPUs for each run.
Why it's wrong here
Not cost-effective; use autoscaling instead.
- ✓
Use predicate pushdown and column pruning in the script.
Why this is correct
Reduces data scanned.
- ✓
Enable job bookmarks to process only new data.
Why this is correct
Avoids reprocessing old data.
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
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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.