DEA-C01 Data Ingestion and Transformation Practice Question
A company uses AWS Glue to catalog and transform data in Amazon S3. The Glue ETL jobs are failing intermittently with 'ThrottlingException' errors. Which THREE actions can help mitigate this issue? (Select THREE.)
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
✓
Implement exponential backoff and retry in the Glue job code.
Options A, C, and D are correct. Implementing exponential backoff and retry (A) handles transient ThrottlingException errors by pacing retries. Requesting a service quota increase for the Glue API (C) raises the maximum allowed requests per second. Enabling job bookmarking (D) reduces the amount of data reprocessed, thereby lowering the number of API calls made to Glue. Option B (increasing DPUs) improves job performance but does not directly address API throttling. Option E (switching to Spark SQL) does not change the underlying API call frequency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement exponential backoff and retry in the Glue job code.
Why this is correct
Exponential backoff retries throttled requests, reducing failure impact.
- ✗
Increase the number of DPUs for the Glue job.
Why it's wrong here
DPUs affect processing capacity, not API call limits.
- ✓
Request a service quota increase for the Glue API.
Why this is correct
Increasing the quota allows more API calls per second, reducing throttling.
- ✓
Enable job bookmarking to avoid reprocessing old data.
Why this is correct
Job bookmarking reduces the amount of data processed, thus fewer API calls.
- ✗
Switch from PySpark to Spark SQL.
Why it's wrong here
Spark SQL still uses the same Glue API; no impact on throttling.
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.