- A
Increase the number of shards in the Kinesis stream to 20 and increase Lambda concurrency to 10.
Why wrong: Increasing shards without enough concurrency still causes throttling. Concurrency should be at least 2 per shard.
- B
Increase Lambda concurrency to at least 20 and reduce the batch size to 10.
More concurrency reduces throttling; smaller batch size reduces processing time per invocation.
- C
Disable the reserved concurrency limit on the Lambda function and decrease the batch size to 5.
Why wrong: Disabling concurrency limit could lead to uncontrolled scaling and potential issues.
- D
Increase the Lambda function timeout to 5 minutes and increase the batch size to 500.
Why wrong: Larger batch size increases processing time, worsening timeouts. Increasing timeout alone doesn't address throttling.
DVA-C02 Development with AWS Services Practice Question
This DVA-C02 practice question tests your understanding of development with aws services. 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 has a production application running on AWS Lambda that processes real-time streaming data from Amazon Kinesis Data Streams. The Lambda function is configured with a batch size of 100 and a maximum concurrency of 5. Recently, the application has been experiencing failures with a high number of invocation errors. The errors indicate that the function is timing out. The developer checks the CloudWatch metrics and notices that the IteratorAge metric for the Kinesis stream is increasing rapidly, and there are many Throttles events for the Lambda function. The average execution duration of the function is 30 seconds, and the function timeout is set to 1 minute. The Kinesis stream has 10 shards. The company expects the data volume to double in the next month. Which combination of actions should the developer take to resolve the issue and prepare for future growth?
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
Increase Lambda concurrency to at least 20 and reduce the batch size to 10.
Option C is correct. Increasing Lambda concurrency to at least 20 (2 per shard) will reduce throttling. Reducing batch size to 10 will lower processing time per batch, preventing timeouts. Option A is wrong because increasing timeout to 5 minutes doesn't address throttling. Option B is wrong because increasing shards to 20 without increasing concurrency will not help. Option D is wrong because disabling concurrency limit could cause uncontrolled scaling.
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.
- ✗
Increase the number of shards in the Kinesis stream to 20 and increase Lambda concurrency to 10.
Why it's wrong here
Increasing shards without enough concurrency still causes throttling. Concurrency should be at least 2 per shard.
- ✓
Increase Lambda concurrency to at least 20 and reduce the batch size to 10.
Why this is correct
More concurrency reduces throttling; smaller batch size reduces processing time per invocation.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Disable the reserved concurrency limit on the Lambda function and decrease the batch size to 5.
Why it's wrong here
Disabling concurrency limit could lead to uncontrolled scaling and potential issues.
- ✗
Increase the Lambda function timeout to 5 minutes and increase the batch size to 500.
Why it's wrong here
Larger batch size increases processing time, worsening timeouts. Increasing timeout alone doesn't address throttling.
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 DVA-C02 NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Increase Lambda concurrency to at least 20 and reduce the batch size to 10. — Option C is correct. Increasing Lambda concurrency to at least 20 (2 per shard) will reduce throttling. Reducing batch size to 10 will lower processing time per batch, preventing timeouts. Option A is wrong because increasing timeout to 5 minutes doesn't address throttling. Option B is wrong because increasing shards to 20 without increasing concurrency will not help. Option D is wrong because disabling concurrency limit could cause uncontrolled scaling.
What should I do if I get this DVA-C02 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 DVA-C02 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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Last reviewed: Jun 20, 2026
This DVA-C02 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 DVA-C02 exam.
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