- A
Replace Lambda with the Kinesis Client Library (KCL) running on EC2.
Why wrong: KCL still needs to handle DynamoDB throttling.
- B
Increase the Lambda function's reserved concurrency to process more records in parallel.
Why wrong: More concurrency increases DynamoDB load, making throttling worse.
- C
Use DynamoDB Streams to capture the records and process them asynchronously.
Why wrong: DynamoDB Streams is for changes, not for ingestion errors.
- D
Configure a Lambda destination on failure to send records to an SQS dead-letter queue, and implement retry logic in Lambda.
This handles transient failures without data loss.
Quick Answer
The answer is to configure a Lambda destination on failure to send records to an SQS dead-letter queue and implement retry logic with exponential backoff. This approach directly addresses DynamoDB throttling in a Kinesis Lambda pipeline by isolating failed records without blocking the stream, while exponential backoff reduces retry pressure on the table. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of error handling patterns for serverless pipelines—a common trap is assuming that increasing Lambda concurrency will solve throttling, but that actually worsens the ProvisionedThroughputExceededException by flooding DynamoDB with more requests. Remember the memory tip: “DLQ for the slow flow, backoff to lay off.”
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 engineer is building a real-time data pipeline using Amazon Kinesis Data Streams with a Lambda consumer. The data volume is 2 MB/s with average record size of 5 KB. The Lambda function processes records and writes to DynamoDB. Occasionally, the Lambda function fails with 'ProvisionedThroughputExceededException' on DynamoDB. What is the best way to handle this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 a Lambda destination on failure to send records to an SQS dead-letter queue, and implement retry logic in Lambda.
Implementing a dead-letter queue and retry logic with exponential backoff is best practice. Option A is correct. Option B is wrong because increasing Lambda concurrency may worsen throttling. Option C is wrong because KCL adds complexity. Option D is wrong because DynamoDB Streams is for change data capture, not for throttling errors.
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.
- ✗
Replace Lambda with the Kinesis Client Library (KCL) running on EC2.
Why it's wrong here
KCL still needs to handle DynamoDB throttling.
- ✗
Increase the Lambda function's reserved concurrency to process more records in parallel.
Why it's wrong here
More concurrency increases DynamoDB load, making throttling worse.
- ✗
Use DynamoDB Streams to capture the records and process them asynchronously.
Why it's wrong here
DynamoDB Streams is for changes, not for ingestion errors.
- ✓
Configure a Lambda destination on failure to send records to an SQS dead-letter queue, and implement retry logic in Lambda.
Why this is correct
This handles transient failures without data loss.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
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.
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Data Ingestion and Transformation — study guide chapter
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Configure a Lambda destination on failure to send records to an SQS dead-letter queue, and implement retry logic in Lambda. — Implementing a dead-letter queue and retry logic with exponential backoff is best practice. Option A is correct. Option B is wrong because increasing Lambda concurrency may worsen throttling. Option C is wrong because KCL adds complexity. Option D is wrong because DynamoDB Streams is for change data capture, not for throttling errors.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
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.
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