The correct action is to configure the pipeline to use a retry strategy with exponential backoff. This resolves the ThrottlingException because even with on-demand capacity, DynamoDB enforces a per-second throughput limit; when Data Pipeline’s read requests exceed that burst ceiling, the service returns throttling errors. Exponential backoff automatically reduces the request rate after each failure, giving the table time to recover and aligning with AWS SDK best practices for handling DynamoDB throttling. On the DEA-C01 exam, this scenario tests your understanding that on-demand capacity handles spikes but is not immune to throttling under sustained high read rates—a common trap is assuming on-demand means unlimited throughput. Remember the memory tip: “On-demand still has a ceiling; back off to keep reading.”
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 company uses AWS Data Pipeline to copy data from DynamoDB to S3 daily. Recently, the pipeline started failing with 'ThrottlingException' errors. The DynamoDB table has on-demand capacity. Which action should be taken to resolve the issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the pipeline to use a retry strategy with exponential backoff.
Option C is correct because ThrottlingException errors in AWS Data Pipeline when reading from DynamoDB indicate that the pipeline's read requests are exceeding the table's available throughput. Since the table uses on-demand capacity, which can handle spikes but has a per-second throughput limit, implementing exponential backoff in the pipeline's retry strategy allows it to reduce request rate upon throttling, aligning with AWS SDK best practices for handling DynamoDB throttling.
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.
✗
Increase the write capacity units of the DynamoDB table.
Why it's wrong here
The issue is read throttling, not write.
✗
Replace Data Pipeline with AWS Glue using a DynamoDB connector.
Why it's wrong here
Glue also reads from DynamoDB and may encounter the same throttling.
✓
Configure the pipeline to use a retry strategy with exponential backoff.
Why this is correct
Retries with backoff alleviate throttling by slowing down requests.
Related concept
Read the scenario before looking for a memorised answer.
✗
Disable the pipeline's retry logic and increase the timeout.
Why it's wrong here
Without retries, the pipeline will fail on the first throttling.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume on-demand capacity eliminates all throttling, but it only handles traffic spikes within a per-second limit, so throttling can still occur with sustained high read rates, and the correct fix is to implement exponential backoff in the pipeline's retry strategy rather than modifying capacity or switching tools.
Detailed technical explanation
How to think about this question
DynamoDB on-demand capacity uses a per-second throughput limit that can burst up to the table's previous peak, but sustained high read rates can still trigger throttling. AWS Data Pipeline's default retry strategy uses a fixed interval, which can exacerbate throttling; exponential backoff with jitter (e.g., using the AWS SDK's built-in retry mode) dynamically increases wait time between retries, reducing contention. In real-world scenarios, this is critical for batch jobs reading large DynamoDB tables, as throttling can cascade if not handled adaptively.
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: Configure the pipeline to use a retry strategy with exponential backoff. — Option C is correct because ThrottlingException errors in AWS Data Pipeline when reading from DynamoDB indicate that the pipeline's read requests are exceeding the table's available throughput. Since the table uses on-demand capacity, which can handle spikes but has a per-second throughput limit, implementing exponential backoff in the pipeline's retry strategy allows it to reduce request rate upon throttling, aligning with AWS SDK best practices for handling DynamoDB throttling.
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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