DEA-C01 Data Operations and Support Practice Question
A company is using AWS Glue to process data stored in Amazon S3. The Glue job runs successfully but takes longer than expected. Which TWO actions can reduce the job runtime?
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
Increasing DPUs (Data Processing Units) allocates more compute resources to the Glue job, allowing it to process data faster, thus reducing runtime. Option E is correct: Partitioning the input data in S3 allows Glue to use partition pruning, reading only the necessary partitions instead of scanning the entire dataset, which reduces I/O and processing time. Option A is incorrect: Disabling job bookmarking does not reduce runtime; it only affects how Glue tracks processed data and might cause reprocessing. Option C is incorrect: Reducing the number of workers would decrease parallelism, likely increasing runtime. Option D is incorrect: Changing from Spark to Python Shell would likely increase runtime because Python Shell is single-threaded and not designed for large-scale data processing compared to Spark.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable job bookmarking
Why it's wrong here
Job bookmarking helps process only new data; disabling it may reprocess all data, increasing runtime.
- ✓
Increase the number of DPUs allocated to the job
Why this is correct
More DPUs enable parallel processing, reducing runtime.
- ✗
Reduce the number of workers
Why it's wrong here
Fewer workers would increase runtime.
- ✗
Change the job type from Spark to Python shell
Why it's wrong here
Python shell has limited parallelism and may be slower.
- ✓
Partition the input data in S3
Why this is correct
Partitioning reduces the amount of data scanned.
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.