The correct answer is to use the DynamoDB export to S3 feature and read the exported data from S3, as this bypasses the table’s read capacity entirely. The export operation creates a point-in-time snapshot using DynamoDB’s internal backup mechanism, which does not consume any read capacity units (RCUs), so the Glue job avoids triggering ThrottlingException even when processing large tables. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how to decouple heavy analytics workloads from operational databases without modifying job logic—a common trap is trying to increase RCUs or implement exponential backoff, which changes the job’s behavior or incurs extra cost. The key insight is that the export-to-S3 feature provides a zero-RCU read path, making it ideal for Glue ETL jobs that need full table scans. Memory tip: think “Export to S3 = Zero RCU reads” to remember that backups don’t consume read capacity.
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Amazon DynamoDB as a source for an AWS Glue job. The job reads a large table using a DynamoDB export to S3 feature. The job is failing with 'ThrottlingException' from DynamoDB. What should the data engineer do to resolve this issue WITHOUT changing the job's logic?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the DynamoDB export to S3 feature and read the exported data from S3
Option C is correct because the DynamoDB export to S3 feature creates a point-in-time snapshot of the table data in S3 without consuming any read capacity units (RCUs) from the DynamoDB table. By reading the exported data from S3 instead of directly scanning the DynamoDB table, the Glue job avoids triggering ThrottlingException entirely, as the export operation uses the table's backup and restore mechanism, not the read path. This resolves the issue without altering the job's logic, as the job can be reconfigured to read from the S3 export location.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use DynamoDB Streams to capture changes and process them incrementally
Why it's wrong here
Streams are for real-time changes, not for a full table scan; also requires code changes.
✗
Reduce the number of DynamoDB read segments in the Glue job
Why it's wrong here
Reducing segments lowers parallelism, which may reduce throttling but also slows the job.
✓
Use the DynamoDB export to S3 feature and read the exported data from S3
Why this is correct
Export to S3 reads from the table without consuming RCU, avoiding throttling entirely.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the read capacity units (RCU) of the DynamoDB table
Why it's wrong here
This may reduce throttling but increases cost and does not leverage the export feature.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume the only way to resolve DynamoDB throttling is to increase RCUs (Option D) or reduce parallelism (Option B), missing the fact that the export-to-S3 feature completely eliminates the need to read from DynamoDB during the Glue job, which is the most efficient and cost-effective solution without altering job logic.
Detailed technical explanation
How to think about this question
The DynamoDB export to S3 feature uses the table's internal backup subsystem to create a consistent snapshot in Apache Parquet or JSON format, bypassing the read path entirely and thus not consuming any RCUs. This is achieved through a managed export job that reads from the table's storage layer directly, similar to how on-demand backups work, ensuring zero impact on production read traffic. In real-world scenarios, this is ideal for large-scale analytics workloads where full table scans would otherwise exhaust provisioned throughput and cause throttling, especially when the table is also serving live application traffic.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the DynamoDB export to S3 feature and read the exported data from S3 — Option C is correct because the DynamoDB export to S3 feature creates a point-in-time snapshot of the table data in S3 without consuming any read capacity units (RCUs) from the DynamoDB table. By reading the exported data from S3 instead of directly scanning the DynamoDB table, the Glue job avoids triggering ThrottlingException entirely, as the export operation uses the table's backup and restore mechanism, not the read path. This resolves the issue without altering the job's logic, as the job can be reconfigured to read from the S3 export location.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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