The answer is to increase the batch size and enable the parallelization factor. By processing more records per invocation with a larger batch size, you reduce the total number of Lambda invocations, directly lowering costs while improving throughput. The parallelization factor further enhances performance by allowing multiple concurrent batches per shard, which is the core of Lambda Kinesis stream optimization cost performance. On the AWS Certified Developer Associate DVA-C02 exam, this scenario tests your understanding of how to tune event source mappings for streaming data—a common trap is confusing provisioned concurrency (which solves cold starts, not cost) with batch tuning. Remember that for Kinesis, more records per call means fewer calls, so think “bigger batches, fewer dollars.” A useful memory tip: “Batch big, parallelize wide, and let the shards decide.”
DVA-C02 Troubleshooting and Optimization Practice Question
This DVA-C02 practice question tests your understanding of troubleshooting and optimization. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Which TWO actions should a developer take to optimize cost and performance for a Lambda function that processes real-time streaming data from Amazon Kinesis? (Choose 2.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable the parallelization factor to process multiple batches concurrently per shard.
Increasing batch size and enabling parallelization factor reduce the number of Lambda invocations and improve throughput. Provisioned concurrency is for latency, not cost/performance optimization for Kinesis. Increasing memory may be needed but not directly for cost optimization.
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.
✗
Enable provisioned concurrency to reduce cold starts.
Why it's wrong here
Provisioned concurrency adds cost and is not a primary optimization for Kinesis.
✗
Increase the Lambda function memory to improve processing speed.
Why it's wrong here
Increasing memory may help but not primarily for cost optimization; it increases cost.
✗
Use a larger Kinesis shard count.
Why it's wrong here
Increasing shards adds cost and is not an optimization of the Lambda function itself.
✓
Enable the parallelization factor to process multiple batches concurrently per shard.
Why this is correct
Parallelization factor improves throughput without increasing shards.
Related concept
Read the scenario before looking for a memorised answer.
✓
Increase the batch size to process more records per invocation.
Why this is correct
Larger batch size reduces invocation count and improves throughput.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 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.
Identify which DVA-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Troubleshooting and Optimization — This question tests Troubleshooting and Optimization — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable the parallelization factor to process multiple batches concurrently per shard. — Increasing batch size and enabling parallelization factor reduce the number of Lambda invocations and improve throughput. Provisioned concurrency is for latency, not cost/performance optimization for Kinesis. Increasing memory may be needed but not directly for cost optimization.
What should I do if I get this DVA-C02 question wrong?
Identify which DVA-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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