SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company has a data pipeline that uses AWS Glue to process large datasets in Amazon S3. The pipeline runs daily and takes over 12 hours to complete. The company wants to reduce the processing time. Which approach would be MOST effective?
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 Glue job.
Increasing the number of DPUs (data processing units) allocated to the Glue job allows for greater parallelism, which directly reduces processing time for CPU-bound or memory-bound workloads. Option A is incorrect because increasing the timeout does not improve performance; it only prevents the job from failing due to time limits. Option B is incorrect because S3 Transfer Acceleration speeds up data transfer to S3, not the processing within Glue. Option D is incorrect because while converting to Parquet can improve read performance and reduce data volume, it does not address the core processing bottleneck if the job is compute-intensive; the most effective immediate step is to increase DPUs.
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 Glue job timeout setting to 24 hours.
Why it's wrong here
Longer timeout does not speed up processing.
- ✗
Enable S3 Transfer Acceleration on the source bucket.
Why it's wrong here
Transfer Acceleration improves upload speed, not Glue job processing.
- ✓
Increase the number of DPUs allocated to the Glue job.
Why this is correct
More DPUs provide more parallelism and reduce runtime.
- ✗
Convert the input data from CSV to Parquet format.
Why it's wrong here
Parquet improves read performance but may not significantly reduce processing time if the bottleneck is compute.
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 SAP-C02 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 SAP-C02 exam.