DEA-C01 Data Operations and Support Practice Question
A data engineer is using AWS Step Functions to orchestrate a series of AWS Glue jobs and Amazon EMR steps as part of a nightly ETL pipeline. The pipeline occasionally fails due to transient issues such as Amazon S3 throttling or temporary network errors. The engineer wants to make the workflow more resilient without duplicating the entire state machine. Which Step Functions feature should be used to automatically retry failed states?
⚠ Common exam trap
It's easy for candidates to confuse observability features like X-Ray tracing or execution timeouts with actual error-handling and retry capabilities.
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
✓
Configure Retry and Catch fields on individual states.
Step Functions provides Retry and Catch fields at the state level to handle transient errors. By configuring Retry with a backoff strategy and maximum attempts, the workflow can automatically re-execute a failed state, such as a Glue job start or EMR step, without manual intervention. Catch can then define a fallback if retries are exhausted. This is the standard approach for making orchestration resilient to intermittent service issues.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure Retry and Catch fields on individual states.
Why this is correct
The Retry field on a state allows you to define automatic retries with backoff and max attempts for specific error types, while Catch can route to a fallback state after retries are exhausted. This directly addresses transient failures without modifying the state machine structure. It is the intended mechanism for handling intermittent errors such as S3 throttling in Step Functions workflows.
- ✗
Enable X-Ray tracing on the state machine.
Why it's wrong here
X-Ray tracing provides observability into the execution path and can help diagnose issues, but it does not automatically retry failed states. Tracing is a monitoring tool, not a resilience mechanism. While it can help identify where throttling occurs, it will not recover the workflow from transient failures without additional retry configuration.
- ✗
Set the state machine's TimeoutSeconds to a large value.
Why it's wrong here
Increasing the state machine timeout only allows the execution to run longer; it does not retry failed states. If a state fails, the entire execution still fails unless there is explicit retry logic. A longer timeout may help with long-running jobs but will not recover from transient errors, so this does not improve resilience against S3 throttling or network issues.
- ✗
Use a Map state to iterate over each Glue job.
Why it's wrong here
A Map state is used to run a set of steps for each item in an array, not to retry failed steps. It is useful for parallel processing of multiple data partitions, but it does not provide error handling or retry semantics. Using Map here would not prevent failures from transient errors; it would only change the execution pattern, leaving the retry problem unsolved.
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.