The answer is that the DynamoDB table's write capacity is insufficient for the workload. This is correct because a ThrottlingException directly indicates that the rate of write requests has exceeded the table’s provisioned write capacity units (WCUs). When AWS Glue processes data from S3 at high throughput, it can easily overwhelm a DynamoDB table that lacks enough WCUs or has not been configured to use on-demand capacity, causing DynamoDB to throttle the writes. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how Glue’s batch processing interacts with DynamoDB’s capacity model—a common trap is assuming the issue is with Glue’s retry logic or network latency, when the root cause is almost always capacity limits. To remember: if you see ThrottlingException in a Glue-to-DynamoDB pipeline, think “WCU shortfall,” not “Glue fault.”
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 data pipeline uses AWS Glue to process data from an S3 data lake. The pipeline fails intermittently with a 'ThrottlingException' when writing to a DynamoDB table. What is the MOST likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The DynamoDB table's write capacity is insufficient for the workload.
A ThrottlingException from DynamoDB indicates that the request rate to the table has exceeded the provisioned write capacity. AWS Glue jobs can generate high-throughput writes, and if the DynamoDB table's write capacity units (WCUs) are not sufficient to handle the burst, DynamoDB will throttle the requests. This is the most direct cause of the intermittent failure described.
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.
✓
The DynamoDB table's write capacity is insufficient for the workload.
Why this is correct
ThrottlingException indicates the write capacity is exceeded; increasing capacity or using auto-scaling resolves it.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The network connection between Glue and DynamoDB is unstable.
Why it's wrong here
Network issues cause connection timeouts, not ThrottlingException.
✗
The Glue job's timeout setting is too low.
Why it's wrong here
Job timeout causes the job to fail with a timeout error, not a ThrottlingException.
✗
The Glue job does not have sufficient IAM permissions to write to DynamoDB.
Why it's wrong here
Insufficient permissions cause AccessDeniedException, not ThrottlingException.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse ThrottlingException with permission errors (Option D) or network issues (Option B), but AWS specifically tests the understanding that DynamoDB throttling is a capacity management mechanism, not a connectivity or authorization problem.
Detailed technical explanation
How to think about this question
DynamoDB uses a token bucket algorithm for write capacity; when the burst capacity is exhausted, it returns a ThrottlingException (HTTP 400) with a 'ProvisionedThroughputExceededException' error code. AWS Glue jobs can be configured with retry logic and exponential backoff to handle such throttling, but if the write demand consistently exceeds provisioned WCUs, the job will still fail intermittently. In practice, you can monitor the DynamoDB 'WriteThrottleEvents' metric in CloudWatch to confirm this pattern.
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 Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The DynamoDB table's write capacity is insufficient for the workload. — A ThrottlingException from DynamoDB indicates that the request rate to the table has exceeded the provisioned write capacity. AWS Glue jobs can generate high-throughput writes, and if the DynamoDB table's write capacity units (WCUs) are not sufficient to handle the burst, DynamoDB will throttle the requests. This is the most direct cause of the intermittent failure described.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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