The correct answer is to enable DynamoDB auto scaling and configure a dead-letter queue for the Lambda function. DynamoDB auto scaling dynamically adjusts the table’s provisioned read and write capacity in response to actual traffic patterns, directly preventing the ProvisionedThroughputExceededException by matching throughput to demand. Meanwhile, a dead-letter queue captures any records that still fail after retries, ensuring no data is lost and allowing for later reprocessing. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how to handle throttling in a streaming pipeline without over-provisioning—a common trap is confusing Lambda timeout or concurrency adjustments with DynamoDB capacity issues. Remember that throttling at the database layer requires a capacity solution, not a compute one. A useful memory tip: “Scale the table, save the failures”—auto scaling handles the rate, and the DLQ catches the strays.
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 runs a data pipeline that ingests streaming data via Amazon Kinesis Data Streams, processes it with an AWS Lambda function, and stores results in Amazon DynamoDB. The Lambda function sometimes fails due to 'ProvisionedThroughputExceededException' on the DynamoDB table. Which combination of steps should a data engineer take to resolve this issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable DynamoDB auto scaling and configure a dead-letter queue for the Lambda function.
Option C is correct because DynamoDB auto scaling adjusts capacity based on load, and adding a dead-letter queue (DLQ) for failed records prevents data loss and allows reprocessing. Option A is wrong because increasing Lambda timeout does not address DynamoDB throttling. Option B is wrong because Lambda reserved concurrency may limit processing, not help. Option D is wrong because Kinesis shard count does not affect DynamoDB throughput.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Enable DynamoDB auto scaling and configure a dead-letter queue for the Lambda function.
Why this is correct
Auto scaling adjusts throughput; DLQ captures failed records for reprocessing.
Related concept
Static NAT maps one inside address to one outside address.
✗
Increase the Lambda function timeout and enable batch windows.
Why it's wrong here
Timeout increase does not reduce DynamoDB request rate.
✗
Increase the number of Kinesis shards to reduce Lambda invocations.
Why it's wrong here
More shards increase Lambda invocations, potentially worsening throttling.
✗
Increase Lambda reserved concurrency and disable retries.
Why it's wrong here
Disabling retries may cause data loss.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
Data Operations and Support — This question tests Data Operations and Support — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable DynamoDB auto scaling and configure a dead-letter queue for the Lambda function. — Option C is correct because DynamoDB auto scaling adjusts capacity based on load, and adding a dead-letter queue (DLQ) for failed records prevents data loss and allows reprocessing. Option A is wrong because increasing Lambda timeout does not address DynamoDB throttling. Option B is wrong because Lambda reserved concurrency may limit processing, not help. Option D is wrong because Kinesis shard count does not affect DynamoDB throughput.
What should I do if I get this DEA-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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